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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 35
Volume 35, Number 1, January 2023
- Shangyu Xie
, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong:
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. 1-15 - Yuhong Xu, Zhiwen Yu, Wenming Cao, C. L. Philip Chen:
A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification. 16-30 - Yaqing Guo, Wenjian Wang, Xuejun Wang:
A Robust Linear Regression Feature Selection Method for Data Sets With Unknown Noise. 31-44 - Peng Wu, Conghui Zheng, Li Pan:
A Unified Generative Adversarial Learning Framework for Improvement of Skip-Gram Network Representation Learning Methods. 45-58 - Run Li, Yucheng Shi, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li:
Active and Compact Entropy Search for High-Dimensional Bayesian Optimization. 59-70 - Tong Wu, Rui Zhang, Ziheng Jiao, Xian Wei, Xuelong Li:
Adaptive Spectral Rotation via Joint Cluster and Pairwise Structure. 71-81 - Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng:
Adversarial Attack on Large Scale Graph. 82-95 - Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
Adversarial Attacks on Multi-Network Mining: Problem Definition and Fast Solutions. 96-107 - Honglu Jiang, Jian Pei, Dongxiao Yu, Jiguo Yu, Bei Gong, Xiuzhen Cheng:
Applications of Differential Privacy in Social Network Analysis: A Survey. 108-127 - Guannan Liu, Liang Zhang, Junjie Wu:
Beyond Similarity: Relation-Based Collaborative Filtering. 128-140 - Katsuhiko Hayashi, Koki Kishimoto, Masashi Shimbo:
Binarized Embeddings for Fast, Space-Efficient Knowledge Graph Completion. 141-153 - Libin Zheng, Lei Chen, Cyrus Shahabi:
Centralized Routing for Bike-Sharing Systems. 154-166 - I-Chung Hsieh, Cheng-Te Li:
CoANE: Modeling Context Co-Occurrence for Attributed Network Embedding. 167-180 - Yong Liu, Susen Yang, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
Contextualized Graph Attention Network for Recommendation With Item Knowledge Graph. 181-195 - Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan:
Core Decomposition on Uncertain Graphs Revisited. 196-210 - Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiaoru Gao, Hui Xiong, Jian Yang:
Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network. 211-224 - Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. 225-236 - Fatemeh Nargesian, Ken Q. Pu, Bahar Ghadiri Bashardoost, Erkang Zhu, Renée J. Miller:
Data Lake Organization. 237-250 - Zengyou He, Ziyao Wu, Guangyao Xu, Yan Liu, Quan Zou:
Decision Tree for Sequences. 251-263 - Tingting Liao, Zhen Lei, Tianqing Zhu, Shan Zeng, Yaqin Li, Cao Yuan:
Deep Metric Learning for K Nearest Neighbor Classification. 264-275 - Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki:
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction. 276-290 - Wanda Li, Zhiwei Xu, Yi Sun, Qingyuan Gong, Yang Chen, Aaron Yi Ding, Xin Wang, Pan Hui:
DeepPick: A Deep Learning Approach to Unveil Outstanding Users With Public Attainable Features. 291-306 - Yue Qu, Chuanren Liu, Kai Zhang, Keli Xiao, Bo Jin, Hui Xiong:
Diagnostic Sparse Connectivity Networks With Regularization Template. 307-320 - Pan Li, Alexander Tuzhilin:
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations. 321-334 - Emmanuelle Claeys, Pierre Gançarski, Myriam Maumy-Bertrand, Hubert Wassner:
Dynamic Allocation Optimization in A/B-Tests Using Classification-Based Preprocessing. 335-349 - Qiang He, Hui Fang, Jie Zhang, Xingwei Wang:
Dynamic Opinion Maximization in Social Networks. 350-361 - Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song:
Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings. 362-376 - Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen:
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. 377-389 - Chen Chen, Qiuyu Zhu, Renjie Sun, Xiaoyang Wang, Yanping Wu:
Edge Manipulation Approaches for K-Core Minimization: Metrics and Analytics. 390-403 - Yan Qiao, Kui Wu, Peng Jin:
Efficient Anomaly Detection for High-Dimensional Sensing Data With One-Class Support Vector Machine. 404-417 - Yexuan Shi, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen:
Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation. 418-430 - Tianyu Zhu, Leilei Sun, Guoqing Chen:
Embedding Disentanglement in Graph Convolutional Networks for Recommendation. 431-442 - Shaojun Shi, Feiping Nie, Rong Wang, Xuelong Li:
Fast Multi-View Clustering via Prototype Graph. 443-455 - Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang:
Finding Critical Users in Social Communities via Graph Convolutions. 456-468 - Yi-Ling Hsu, Yu-Che Tsai, Cheng-Te Li:
FinGAT: Financial Graph Attention Networks for Recommending Top-$K$K Profitable Stocks. 469-481 - Qinghai Zheng, Jihua Zhu, Haoyu Tang, Xinyuan Liu, Zhongyu Li, Huimin Lu:
Generalized Label Enhancement With Sample Correlations. 482-495 - Tianyu Zhu, Leilei Sun, Guoqing Chen:
Graph-Based Embedding Smoothing for Sequential Recommendation. 496-508 - Sergi Nadal, Alberto Abelló, Oscar Romero, Stijn Vansummeren, Panos Vassiliadis:
Graph-Driven Federated Data Management. 509-520 - Houye Ji, Xiao Wang, Chuan Shi, Bai Wang, Philip S. Yu:
Heterogeneous Graph Propagation Network. 521-532 - Yawen Li, Di Jiang, Rongzhong Lian, Xueyang Wu, Conghui Tan, Yi Xu, Zhiyang Su:
Heterogeneous Latent Topic Discovery for Semantic Text Mining. 533-544 - Zhen Zhang, Jiajun Bu, Martin Ester, Jianfeng Zhang, Zhao Li, Chengwei Yao, Huifen Dai, Zhi Yu, Can Wang:
Hierarchical Multi-View Graph Pooling With Structure Learning. 545-559 - Jianxin Li, Hao Peng, Yuwei Cao, Yingtong Dou, Hekai Zhang, Philip S. Yu, Lifang He:
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks. 560-574 - Xiaoli Wang, Feng Luo, Qingfeng Wu, Zhifeng Bao:
How Context or Knowledge Can Benefit Healthcare Question Answering? 575-588 - Lusi Li, Zhiqiang Wan, Haibo He:
Incomplete Multi-View Clustering With Joint Partition and Graph Learning. 589-602 - Can Rong, Tong Li, Jie Feng, Yong Li:
Inferring Origin-Destination Flows From Population Distribution. 603-613 - Laura von Rüden, Sebastian Mayer, Katharina Beckh, Bogdan Georgiev, Sven Giesselbach, Raoul Heese, Birgit Kirsch, Julius Pfrommer, Annika Pick, Rajkumar Ramamurthy, Michal Walczak, Jochen Garcke, Christian Bauckhage, Jannis Schuecker:
Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. 614-633 - Xindong Wu, Tingting Jiang, Yi Zhu, Chenyang Bu:
Knowledge Graph for China's Genealogy11.A shorter version of this paper won the Best Paper Award at IEEE ICKG 2020 (the 11th IEEE International Conference on Knowledge Graph, ickg 2020.bigke.org). 634-646 - Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu:
Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. 647-657 - Yong Liu, Susen Yang, Yinan Zhang, Chunyan Miao, Zaiqing Nie, Juyong Zhang:
Learning Hierarchical Review Graph Representations for Recommendation. 658-671 - Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. 672-685 - Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Yilong Yin, Yu Zheng:
Missing Value Imputation for Multi-View Urban Statistical Data via Spatial Correlation Learning. 686-698 - Xi-Zhu Wu, Wenkai Xu, Song Liu, Zhi-Hua Zhou:
Model Reuse With Reduced Kernel Mean Embedding Specification. 699-710 - Da Yin, Weng Lam Tam, Ming Ding, Jie Tang:
MRT: Tracing the Evolution of Scientific Publications. 711-724 - Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin:
Multi-Hop Reasoning Question Generation and Its Application. 725-740 - Yang Xu, Lei Zhu, Zhiyong Cheng, Jingjing Li, Zheng Zhang, Huaxiang Zhang:
Multi-Modal Discrete Collaborative Filtering for Efficient Cold-Start Recommendation. 741-755 - Shih Yu Chang, Hsiao-Chun Wu:
Multi-Relational Data Characterization by Tensors: Perturbation Analysis. 756-769 - Waleed Ragheb, Jérôme Azé, Sandra Bringay, Maximilien Servajean:
Negatively Correlated Noisy Learners for At-Risk User Detection on Social Networks: A Study on Depression, Anorexia, Self-Harm, and Suicide. 770-783 - Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng:
Neighbor-Anchoring Adversarial Graph Neural Networks. 784-795 - I-Chung Hsieh, Cheng-Te Li:
NetFense: Adversarial Defenses Against Privacy Attacks on Neural Networks for Graph Data. 796-809 - Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang:
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning. 810-823 - Kaiqiang Yu, Cheng Long, Deepak P, Tanmoy Chakraborty:
On Efficient Large Maximal Biplex Discovery. 824-829 - Manuele Bicego, Ferdinando Cicalese, Antonella Mensi:
RatioRF: A Novel Measure for Random Forest Clustering Based on the Tversky's Ratio Model. 830-841 - Jiajun Zhou, Zhi Chen, Min Du, Lihong Chen, Shanqing Yu, Guanrong Chen, Qi Xuan:
RobustECD: Enhancement of Network Structure for Robust Community Detection. 842-856 - Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, Jie Tang:
Self-Supervised Learning: Generative or Contrastive. 857-876 - Ningzhao Sun, Tingjin Luo, Wenzhang Zhuge, Hong Tao, Chenping Hou, Dewen Hu:
Semi-Supervised Learning With Label Proportion. 877-890 - Shichao Pei, Lu Yu, Xiangliang Zhang:
Set-Aware Entity Synonym Discovery With Flexible Receptive Fields. 891-904 - Yang Ye, Shihao Ji:
Sparse Graph Attention Networks. 905-916 - Lixiao Cui, Kewen He, Yusen Li, Peng Li, Jiachen Zhang, Gang Wang, Xiaoguang Liu:
SwapKV: A Hotness Aware In-Memory Key-Value Store for Hybrid Memory Systems. 917-930 - Yuda Gao, Bin Shi, Bo Dong, Yiyang Wang, Lingyun Mi, Qinghua Zheng:
Tax Evasion Detection With FBNE-PU Algorithm Based on PnCGCN and PU Learning. 931-944 - Penghang Liu, Valerio Guarrasi, Ahmet Erdem Sariyüce:
Temporal Network Motifs: Models, Limitations, Evaluation. 945-957 - Yu Yang, Jiannong Cao, Milos Stojmenovic, Senzhang Wang, Yiran Cheng, Chun Lum, Zhetao Li:
Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution. 958-971 - Yuan Zuo, Congrui Li, Hao Lin, Junjie Wu:
Topic Modeling of Short Texts: A Pseudo-Document View With Word Embedding Enhancement. 972-985 - Chenguang Li, Jiaqing Liang, Yanghua Xiao, Haiyun Jiang:
Towards Fine-Grained Concept Generation. 986-997 - Tiantian Liu, Zijin Feng, Huan Li, Hua Lu, Muhammad Aamir Cheema, Hong Cheng, Jianliang Xu:
Towards Indoor Temporal-Variation Aware Shortest Path Query. 998-1012 - Ruiyuan Li, Huajun He, Rubin Wang, Sijie Ruan, Tianfu He, Jie Bao, Junbo Zhang, Liang Hong, Yu Zheng:
TrajMesa: A Distributed NoSQL-Based Trajectory Data Management System. 1013-1027 - Zhanhao Zhao, Wei Lu, Hongyao Zhao, Zongyan He, Haixiang Li, Anqun Pan, Xiaoyong Du:
T-SQL: A Lightweight Implementation to Enable Built-in Temporal Support in MVCC-Based RDBMSs. 1028-1042 - Satadisha Saha Bhowmick, Eduard C. Dragut, Weiyi Meng:
TwiCS: Lightweight Entity Mention Detection in Targeted Twitter Streams. 1043-1057 - Fadi Hassan, David Sánchez, Josep Domingo-Ferrer:
Utility-Preserving Privacy Protection of Textual Documents via Word Embeddings. 1058-1071 - Chen Jason Zhang, Haodi Zhang, Weiteng Xie, Nan Liu, Kaishun Wu, Lei Chen:
Where to: Crowd-Aided Path Selection by Selective Bayesian Network. 1072-1087
Volume 35, Number 2, February 2023
- Yuqing Zhu, Jing Tang, Xueyan Tang, Sibo Wang, Andrew Lim:
2-hop+ Sampling: Efficient and Effective Influence Estimation. 1088-1103 - Zhixin Qi, Hongzhi Wang, Haoran Zhang:
A Dual-Store Structure for Knowledge Graphs. 1104-1118 - Jianqiu Xu, Zhifeng Bao, Hua Lu:
A Framework to Support Continuous Range Queries Over Multi-Attribute Trajectories. 1119-1133 - Jianfeng Qu, Wen Hua, Dantong Ouyang, Xiaofang Zhou:
A Noise-Aware Method With Type Constraint Pattern for Neural Relation Extraction. 1134-1148 - Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Dongxiao He, Jia Wu, Philip S. Yu, Weixiong Zhang:
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. 1149-1170 - Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. 1171-1184 - Huaxiong Li, Chao Zhang, Xiuyi Jia, Yang Gao, Chunlin Chen:
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval. 1185-1199 - Dongxiao He, Tao Wang, Lu Zhai, Di Jin, Liang Yang, Yuxiao Huang, Zhiyong Feng, Philip S. Yu:
Adversarial Representation Mechanism Learning for Network Embedding. 1200-1213 - Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou:
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. 1214-1226 - Xiaxia Wang, Gong Cheng, Jeff Z. Pan, Evgeny Kharlamov, Yuzhong Qu:
BANDAR: Benchmarking Snippet Generation Algorithms for (RDF) Dataset Search. 1227-1241 - Lianwei Wu, Yuan Rao, Cong Zhang, Yongqiang Zhao, Ambreen Nazir:
Category-Controlled Encoder-Decoder for Fake News Detection. 1242-1257 - Tianye Zhang, Haozhe Feng, Wei Chen, Zexian Chen, Wenting Zheng, Xiaonan Luo, Wenqi Huang, Anthony K. H. Tung:
ChartNavigator: An Interactive Pattern Identification and Annotation Framework for Charts. 1258-1269 - Maximilian Toller, Bernhard C. Geiger, Roman Kern:
Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory. 1270-1282 - Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. 1283-1295 - Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang:
Combining Graph Neural Networks With Expert Knowledge for Smart Contract Vulnerability Detection. 1296-1310 - Ming-Chuan Yang, Meng Chang Chen:
Composite Neural Network: Theory and Application to PM2.5 Prediction. 1311-1323 - Harry Kai-Ho Chan, Shengxin Liu, Cheng Long, Raymond Chi-Wing Wong:
Cost-Aware and Distance-Constrained Collective Spatial Keyword Query. 1324-1336 - Xiaofeng Gao, Wenyi Xu, Zixuan Zhang, Yan Tang, Guihai Chen:
Cross-Platform Event Popularity Analysis via Dynamic Time Warping and Neural Prediction. 1337-1350 - Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li:
Cross-Platform Item Recommendation for Online Social E-Commerce. 1351-1364 - Donglin Zhang, Xiaojun Wu, Tianyang Xu, He-Feng Yin:
DAH: Discrete Asymmetric Hashing for Efficient Cross-Media Retrieval. 1365-1378 - Qiuqiang Lin, Chuanhou Gao:
Discovering Categorical Main and Interaction Effects Based on Association Rule Mining. 1379-1390 - Tao Yao, Yiru Li, Weili Guan, Gang Wang, Ying Li, Lianshan Yan, Qi Tian:
Discrete Robust Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval. 1391-1401 - Yuanxun Zhang, Prasad Calyam, Trupti Joshi, Satish S. Nair, Dong Xu:
Domain-Specific Topic Model for Knowledge Discovery in Computational and Data-Intensive Scientific Communities. 1402-1420 - Qiaomin Yi, Ning Yang, Philip S. Yu:
Dual Adversarial Variational Embedding for Robust Recommendation. 1421-1433 - Rui Kang, Hongzhi Wang:
Dynamic Relation Repairing for Knowledge Enhancement. 1434-1445 - Yu Chen, Yong Zhang, Jin Wang, Jiacheng Wu, Chunxiao Xing:
Efficient EMD-Based Similarity Search via Batch Pruning and Incremental Computation. 1446-1459 - Dawei Cheng, Chen Chen, Xiaoyang Wang, Sheng Xiang:
Efficient Top-k Vulnerable Nodes Detection in Uncertain Graphs. 1460-1472 - Mi Zhang, Daizong Ding, Xudong Pan, Min Yang:
Enhancing Time Series Predictors With Generalized Extreme Value Loss. 1473-1487 - Zheng Dong, Xiangwu Meng, Yujie Zhang:
Exploiting Category-Level Multiple Characteristics for POI Recommendation. 1488-1501 - Ke Wang, Ning Xu, Miaogen Ling, Xin Geng:
Fast Label Enhancement for Label Distribution Learning. 1502-1514 - Zhen Wang, Xiangfeng Dai, Peican Zhu, Rong Wang, Xuelong Li, Feiping Nie:
Fast Optimization of Spectral Embedding and Improved Spectral Rotation. 1515-1527 - Sijie Ruan, Xi Fu, Cheng Long, Zi Xiong, Jie Bao, Ruiyuan Li, Yiheng Chen, Shengnan Wu, Yu Zheng:
Filling Delivery Time Automatically Based on Couriers' Trajectories. 1528-1540 - Dimitris Bertsimas, Vassilis Digalakis:
Frequency Estimation in Data Streams: Learning the Optimal Hashing Scheme. 1541-1553 - Wenfei Fan, Muyang Liu, Ping Lu, Qiang Yin:
Graph Algorithms With Partition Transparency. 1554-1566 - Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin:
Graph-Convolved Factorization Machines for Personalized Recommendation. 1567-1580 - Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye:
Heterogeneous Information Network Embedding With Adversarial Disentangler. 1581-1593 - Jianliang Gao, Jun Gao, Xiaoting Ying, Mingming Lu, Jian-Xin Wang:
Higher-Order Interaction Goes Neural: A Substructure Assembling Graph Attention Network for Graph Classification. 1594-1608 - Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Incorporating Price into Recommendation With Graph Convolutional Networks. 1609-1623 - Wei Fan, Kunpeng Liu, Hao Liu, Yong Ge, Hui Xiong, Yanjie Fu:
Interactive Reinforcement Learning for Feature Selection With Decision Tree in the Loop. 1624-1636 - Yaming Yang, Ziyu Guan, Jianxin Li, Wei Zhao, Jiangtao Cui, Quan Wang:
Interpretable and Efficient Heterogeneous Graph Convolutional Network. 1637-1650 - Aviad Elyashar, Rami Puzis, Michael Fire:
It Runs in the Family: Unsupervised Algorithm for Alternative Name Suggestion Using Digitized Family Trees. 1651-1666 - Pengkun Wang, Chuancai Ge, Zhengyang Zhou, Xu Wang, Yuantao Li, Yang Wang:
Joint Gated Co-Attention Based Multi-Modal Networks for Subregion House Price Prediction. 1667-1680 - Fan Yang, Fuzhong Xue, Yanchun Zhang, George Karypis:
Kernelized Multitask Learning Method for Personalized Signaling Adverse Drug Reactions. 1681-1694 - Xiuyi Jia, Xiaoxia Shen, Weiwei Li, Yunan Lu, Jihua Zhu:
Label Distribution Learning by Maintaining Label Ranking Relation. 1695-1707 - Xiuyi Jia, Yunan Lu, Fangwen Zhang:
Label Enhancement by Maintaining Positive and Negative Label Relation. 1708-1720 - Xupeng Miao, Wentao Zhang, Yingxia Shao, Bin Cui, Lei Chen, Ce Zhang, Jiawei Jiang:
Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture. 1721-1733 - Jia-Nan Guo, Xian-Ling Mao, Tian Lan, Rongxin Tu, Wei Wei, Heyan Huang:
LASH: Large-Scale Academic Deep Semantic Hashing. 1734-1746 - Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. 1747-1760 - Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. 1761-1774 - Ruoyang Guo, Bo Qin, Yuncheng Wu, Ruixuan Liu, Hong Chen, Cuiping Li:
LuxGeo: Efficient and Security-Enhanced Geometric Range Queries. 1775-1790 - Chen Chen, Yanping Wu, Renjie Sun, Xiaoyang Wang:
Maximum Signed $\theta$θ-Clique Identification in Large Signed Graphs. 1791-1802 - Jhomara Luzuriaga, Emir Muñoz, Henry Rosales-Méndez, Aidan Hogan:
Merging Web Tables for Relation Extraction With Knowledge Graphs. 1803-1816 - Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang:
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. 1817-1830 - Yuyang Gao, Tanmoy Chowdhury, Lingfei Wu, Liang Zhao:
Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities. 1831-1843 - Bin-Bin Jia, Min-Ling Zhang:
Multi-Dimensional Classification via Decomposed Label Encoding. 1844-1856 - Ahmad Qutbuddin, KwangSoo Yang:
Multiple Resource Network Voronoi Diagram. 1857-1871 - Zhiping Lin, Zhao Kang, Lizong Zhang, Ling Tian:
Multi-View Attributed Graph Clustering. 1872-1880 - Thanh Trung Huynh, Chi Thang Duong, Thanh Tam Nguyen, Tong Van Vinh, Abdul Sattar, Hongzhi Yin, Quoc Viet Hung Nguyen:
Network Alignment With Holistic Embeddings. 1881-1894 - Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang:
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. 1895-1908 - Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan:
On the Benefits of Two Dimensional Metric Learning. 1909-1921 - Guohao Sun, Guanfeng Liu, Yan Wang, Mehmet A. Orgun, Quan Z. Sheng, Xiaofang Zhou:
Partition-Aware Graph Pattern Based Node Matching With Updates. 1922-1937 - Yuan Yuan, Fengli Xu, Hancheng Cao, Guozhen Zhang, Pan Hui, Yong Li, Depeng Jin:
Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement. 1938-1951 - Xiaolong Fan, Maoguo Gong, Yue Wu, A. Kai Qin, Yu Xie:
Propagation Enhanced Neural Message Passing for Graph Representation Learning. 1952-1964 - Jinjing Shi, Yongze Tang, Yuhu Lu, Yanyan Feng, Ronghua Shi, Shichao Zhang:
Quantum Circuit Learning With Parameterized Boson Sampling. 1965-1976 - Ioannis Xarchakos, Nick Koudas:
Querying for Interactions. 1977-1990 - Yunlong Gao, Tingting Lin, Yisong Zhang, Sizhe Luo, Feiping Nie:
Robust Principal Component Analysis Based on Discriminant Information. 1991-2003 - Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: Recommendation With Informative Sampling Strategy. 2004-2018 - Xubo Wang, Dong Wen, Lu Qin, Lijun Chang, Ying Zhang, Wenjie Zhang:
ScaleG: A Distributed Disk-Based System for Vertex-Centric Graph Processing. 2019-2033 - Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen:
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation. 2034-2047 - Gustavo H. F. M. Oliveira, Leandro L. Minku, Adriano L. I. Oliveira:
Tackling Virtual and Real Concept Drifts: An Adaptive Gaussian Mixture Model Approach. 2048-2060 - Li Cai, Haoyu Wang, Cong Sha, Fang Jiang, Yihan Zhang, Wei Zhou:
The Mining of Urban Hotspots Based on Multi-Source Location Data Fusion. 2061-2077 - Ziqiang Cheng, Yang Yang, Shuo Jiang, Wenjie Hu, Zhangchi Ying, Ziwei Chai, Chunping Wang:
Time2Graph+: Bridging Time Series and Graph Representation Learning via Multiple Attentions. 2078-2090 - Jinyin Chen, Jian Zhang, Zhi Chen, Min Du, Qi Xuan:
Time-Aware Gradient Attack on Dynamic Network Link Prediction. 2091-2102 - Tong Chen, Hongzhi Yin, Jie Ren, Zi Huang, Xiangliang Zhang, Hao Wang:
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning. 2103-2117 - Yuxin Zhang, Yiqiang Chen, Jindong Wang, Zhiwen Pan:
Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals. 2118-2132 - Jia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang:
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding. 2133-2146 - Enrique Amigó, Julio Gonzalo, Stefano Mizzaro:
What is My Problem? Identifying Formal Tasks and Metrics in Data Mining on the Basis of Measurement Theory. 2147-2157 - Xinrui Wang, Hong Gao, Zhipeng Cai, Jianzhong Li:
Who Should Deserve Investment? Attractive Individual and Group Search in Dynamic Information Networks. 2158-2172 - Yaping Zheng, Xiaofeng Zhang, Shiyi Chen, Xinni Zhang, Xiaofei Yang, Di Wang:
When Convolutional Network Meets Temporal Heterogeneous Graphs: An Effective Community Detection Method. 2173-2178
Volume 35, Number 3, March 2023
- Shiwei Wei, Yuping Wang, Yiu-ming Cheung:
A Branch Elimination-Based Efficient Algorithm for Large-Scale Multiple Longest Common Subsequence Problem. 2179-2192 - Zheng Xiao, PengCheng Wei, Anthony Theodore Chronopoulos, Anne C. Elster:
A Distributed Integrated Feature Selection Scheme for Column Subset Selection. 2193-2205 - Xiao Li, Zhihui Zhu, Qiuwei Li, Kai Liu:
A Provable Splitting Approach for Symmetric Nonnegative Matrix Factorization. 2206-2219 - Bo Liu, Zhiyong Che, Haowen Zhong, Yanshan Xiao:
A Ranking Based Multi-View Method for Positive and Unlabeled Graph Classification. 2220-2230 - Youpeng Hu, Xunkai Li, Yujie Wang, Yixuan Wu, Yining Zhao, Chenggang Yan, Jian Yin, Yue Gao:
Adaptive Hypergraph Auto-Encoder for Relational Data Clustering. 2231-2242 - Pengfei Ding, Guanfeng Liu, Yan Wang, Kai Zheng, Xiaofang Zhou:
A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery. 2243-2257 - Benyuan Yang, Hesuan Hu:
Analysis of Authorization Constraints via Integer Linear Programming. 2258-2271 - Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong:
Automated Feature Selection: A Reinforcement Learning Perspective. 2272-2284 - Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang:
Automated Unsupervised Graph Representation Learning. 2285-2298 - Dan Shi, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zhenguang Liu:
Binary Label Learning for Semi-Supervised Feature Selection. 2299-2312 - Yalan Qin, Guorui Feng, Yanli Ren, Xinpeng Zhang:
Block-Diagonal Guided Symmetric Nonnegative Matrix Factorization. 2313-2325 - Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li:
Bundle Recommendation and Generation With Graph Neural Networks. 2326-2340 - Chen Jason Zhang, Haodi Zhang, Qifan Li, Kaishun Wu, Di Jiang, Yuanfeng Song, Peiguang Lin, Lei Chen:
Burstiness-Aware Web Search Analysis on Different Levels of Evidences. 2341-2352 - Yuechen Tao, Bo Li, Baochun Li, Lei Chen:
Characterizing Performance Limits in Payment Channel Networks. 2353-2365 - James J. Q. Yu:
Citywide Estimation of Travel Time Distributions With Bayesian Deep Graph Learning. 2366-2378 - Jiewen Guan, Xin Huang, Bilian Chen:
Community-Aware Social Recommendation: A Unified SCSVD Framework. 2379-2393 - Ehsan Hallaji, Maryam Farajzadeh-Zanjani, Roozbeh Razavi-Far, Vasile Palade, Mehrdad Saif:
Constrained Generative Adversarial Learning for Dimensionality Reduction. 2394-2405 - Shangsong Liang, Shaowei Tang, Zaiqiao Meng, Qiang Zhang:
Cross-Temporal Snapshot Alignment for Dynamic Networks. 2406-2420 - Renjie Wu, Eamonn J. Keogh:
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress. 2421-2429 - Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
Decoupled Representation Learning for Attributed Networks. 2430-2444 - Dongjing Miao, Zhipeng Cai, Jianzhong Li:
Deletion Propagation Revisited for Multiple Key Preserving Views. 2445-2456 - Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang:
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. 2457-2470 - Kai Wang, Wenjie Zhang, Ying Zhang, Lu Qin, Yuting Zhang:
Discovering Significant Communities on Bipartite Graphs: An Index-Based Approach. 2471-2485 - Shuang Liang, Jie Shao, Dongyang Zhang, Jiasheng Zhang, Bin Cui:
DRGI: Deep Relational Graph Infomax for Knowledge Graph Completion. 2486-2499 - Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies. 2500-2514 - Zhe Wang, Peng Xiao, Kewen Wang, Zhiqiang Zhuang, Hai Wan:
Efficient Datalog Rewriting for Query Answering in TGD Ontologies. 2515-2528 - Dingming Wu, Erjia Xiao, Yi Zhu, Christian S. Jensen, Kezhong Lu:
Efficient Retrieval of the Top-$k$k Most Relevant Event-Partner Pairs. 2529-2543 - Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu:
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. 2544-2555 - Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan:
Entity Linking Meets Deep Learning: Techniques and Solutions. 2556-2578 - Tianyi Gu, Kaiwen Huang, Jie Zhang, Kai Zhang, Ping Li:
Fast Convolutional Factorization Machine With Enhanced Robustness. 2579-2589 - Junfeng Zhou, Jeffrey Xu Yu, Yaxian Qiu, Xian Tang, Ziyang Chen, Ming Du:
Fast Reachability Queries Answering Based on $\mathsf{RCN}$RCN Reduction. 2590-2609 - Cheng Qiao, Kenneth N. Brown, Fan Zhang, Zhihong Tian:
Adaptive Asynchronous Clustering Algorithms for Wireless Mesh Networks. 2610-2627 - Shuyi Zhang, Peter Tino, Xin Yao:
Hierarchical Reduced-Space Drift Detection Framework for Multivariate Supervised Data Streams. 2628-2640 - Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, Philip S. Yu:
Hierarchical Representation Learning for Attributed Networks. 2641-2656 - Jing Ma, Jun Li, Wei Gao, Yang Yang, Kam-Fai Wong:
Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning. 2657-2670 - Jun Yin, Shiliang Sun:
Incomplete Multi-View Clustering With Reconstructed Views. 2671-2682 - Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. 2683-2696 - Kai Ming Ting, Bi-Cun Xu, Takashi Washio, Zhi-Hua Zhou:
Isolation Distributional Kernel: A New Tool for Point and Group Anomaly Detections. 2697-2710 - Shichao Zhang, Jiaye Li:
KNN Classification With One-Step Computation. 2711-2723 - Weidong Li, Rong Peng, Zhi Li:
Knowledge Graph Completion by Jointly Learning Structural Features and Soft Logical Rules. 2724-2735 - Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang:
Learning Adaptive Embedding Considering Incremental Class. 2736-2749 - Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li:
Learning Causal Representations for Robust Domain Adaptation. 2750-2764 - Hao Peng, Jianxin Li, Zheng Wang, Renyu Yang, Mingsheng Liu, Mingming Zhang, Philip S. Yu, Lifang He:
Lifelong Property Price Prediction: A Case Study for the Toronto Real Estate Market. 2765-2780 - Shuang Li, Wenxuan Ma, Jinming Zhang, Chi Harold Liu, Jian Liang, Guoren Wang:
Meta-Reweighted Regularization for Unsupervised Domain Adaptation. 2781-2795 - Wei Zeng, Chengqiao Lin, Kang Liu, Juncong Lin, Anthony K. H. Tung:
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction. 2796-2808 - Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. 2809-2822 - Luming Sun, Cuiping Li, Tao Ji, Hong Chen:
MOSE: A Monotonic Selectivity Estimator Using Learned CDF. 2823-2836 - Yang Hu, Ze Yang, Wenchang Hou:
Multiple Receding Imputation of Time Series Based on Similar Conditions Screening. 2837-2846 - Shuai Zhang, Kun Zhu, Wenyu Zhang:
Multivariate Correlation Matrix-Based Deep Learning Model With Enhanced Heuristic Optimization for Short-Term Traffic Forecasting. 2847-2858 - Junaid Ali, Mahmoudreza Babaei, Abhijnan Chakraborty, Baharan Mirzasoleiman, Krishna P. Gummadi, Adish Singla:
On the Fairness of Time-Critical Influence Maximization in Social Networks. 2875-2886 - Zengyou He, Xiaoqi Wei, Wenfang Chen, Yan Liu:
On the Statistical Significance of a Community Structure. 2887-2900 - Dianlong You, Yang Wang, Jiawei Xiao, Yaojin Lin, Maosheng Pan, Zhen Chen, Limin Shen, Xindong Wu:
Online Multi-Label Streaming Feature Selection With Label Correlation. 2901-2915 - Hong Xie, Pei Yi, Yongkun Li, John C. S. Lui:
Optimizing Random Walk Based Statistical Estimation Over Graphs via Bootstrapping. 2916-2929 - Heli Sun, Ning Wang, Jingyu Jia, Jianbin Huang, Hui Xiong, Liang He, Xinwang Liu, Shan Zhang, Shaojie Qiao, Jizhong Zhao:
Platform-Oriented Event Time Allocation. 2930-2942 - Hongwei Huo, Peng Long, Jeffrey Scott Vitter:
Practical High-Order Entropy-Compressed Text Self-Indexing. 2943-2960 - Seiya Jumonji, Kazuya Sakai, Min-Te Sun, Wei-Shinn Ku:
Privacy-Preserving Collaborative Filtering Using Fully Homomorphic Encryption. 2961-2974 - Zijie Pan, Li Hu, Weixuan Tang, Jin Li, Yi He, Zheli Liu:
Privacy-Preserving Multi-Granular Federated Neural Architecture Search - A General Framework. 2975-2986 - Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma, Biswadeep Sen, Tanmoy Chakraborty:
QUINT: Node Embedding Using Network Hashing. 2987-3000 - Xiaowei Zhao, Feiping Nie, Rong Wang, Xuelong Li:
Robust Fuzzy K-Means Clustering With Shrunk Patterns Learning. 3001-3013 - Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. 3014-3029 - Mengbo You, Aihong Yuan, Min Zou, Dongjian He, Xuelong Li:
Robust Unsupervised Feature Selection via Multi-Group Adaptive Graph Representation. 3030-3044 - Meng Li, Zheyu Miao, Di Wu, Feifei Li, Sheng Wang, Wei Cao, Zhi Qiao, Yubin Ruan, Yukun Liang, Jimmy Yang, Haipeng Dai, Guihai Chen:
ROVEC: Runtime Optimization of Vectorized Expression Evaluation for Column Store. 3045-3058 - Yuandong Wang, Hongzhi Yin, Lian Wu, Tong Chen, Chunyang Liu:
Secure Your Ride: Real-Time Matching Success Rate Prediction for Passenger-Driver Pairs. 3059-3071 - Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen, Shuo Shang:
Sequence Labeling With Meta-Learning. 3072-3086 - Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu, Yang Yang, Philip S. Yu:
Signed Network Representation by Preserving Multi-Order Signed Proximity. 3087-3100 - Agus Sudjianto, Zebin Yang, Aijun Zhang:
Single-Index Model Tree. 3101-3114 - Qiyan Li, Yuanyuan Zhu, Junhao Ye, Jeffrey Xu Yu:
Skyline Group Queries in Large Road-Social Networks Revisited. 3115-3129 - Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi:
Spark Rough Hypercuboid Approach for Scalable Feature Selection. 3130-3144 - Zhenyu Qiu, Jia Wu, Wenbin Hu, Bo Du, Guocai Yuan, Philip S. Yu:
Temporal Link Prediction With Motifs for Social Networks. 3145-3158 - Wenqi Wang, Run Wang, Lina Wang, Zhibo Wang, Aoshuang Ye:
Towards a Robust Deep Neural Network Against Adversarial Texts: A Survey. 3159-3179 - Yali Fan, Zhen Tu, Tong Li, Hancheng Cao, Tong Xia, Yong Li, Xiang Chen, Lin Zhang:
Understanding the Long-Term Dynamics of Mobile App Usage Context via Graph Embedding. 3180-3194 - Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu:
Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. 3195-3210 - Wei Wei, Qin Yue, Kai Feng, Junbiao Cui, Jiye Liang:
Unsupervised Dimensionality Reduction Based on Fusing Multiple Clustering Results. 3211-3223 - Jianyong Zhu, Lihong Tao, Hui Yang, Feiping Nie:
Unsupervised Optimized Bipartite Graph Embedding. 3224-3238 - Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang:
User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations. 3239-3252 - Renjie Wu, Audrey Der, Eamonn J. Keogh:
When is Early Classification of Time Series Meaningful? 3253-3260 - Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Yawen Li, Chen Jason Zhang, Lei Chen, Lixin Fan:
Scalable Identity-Oriented Speech Retrieval. 3261-3265 - Jiapeng Zhang, Shan Qu, Qi Li, Huquan Kang, Luoyi Fu, Haisong Zhang, Xinbing Wang, Guihai Chen:
On Social Network De-Anonymization With Communities: A Maximum A Posteriori Perspective. 2859-2874
Volume 35, Number 4, April 2023
- Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu:
A Deep Dual Adversarial Network for Cross-Domain Recommendation. 3266-3278 - Gianni Brauwers, Flavius Frasincar:
A General Survey on Attention Mechanisms in Deep Learning. 3279-3298 - Shaofei Wang, Depeng Dang:
A Generative Answer Aggregation Model for Sentence-Level Crowdsourcing Tasks. 3299-3312 - Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. 3313-3332 - Lefeng Zhang, Tianqing Zhu, Ping Xiong, Wanlei Zhou, Philip S. Yu:
A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. 3333-3346 - Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He:
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. 3347-3366 - Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin, Ping Xiong, Wanlei Zhou:
Adversarial Attacks Against Deep Generative Models on Data: A Survey. 3367-3388 - Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. 3389-3403 - Jung-Hsien Chiang, Chung-Yao Ma, Chi-Shiang Wang, Pei-Yi Hao:
An Adaptive, Context-Aware, and Stacked Attention Network-Based Recommendation System to Capture Users' Temporal Preference. 3404-3418 - Wuning Tong, Yuping Wang, Delong Liu:
An Adaptive Clustering Algorithm Based on Local-Density Peaks for Imbalanced Data Without Parameters. 3419-3432 - Feiping Nie, Ziheng Li, Rong Wang, Xuelong Li:
An Effective and Efficient Algorithm for K-Means Clustering With New Formulation. 3433-3443 - Quan Wang, Fei Wang, Fuji Ren, Zhongheng Li, Feiping Nie:
An Effective Clustering Optimization Method for Unsupervised Linear Discriminant Analysis. 3444-3457 - Lijun Dong, Dongyang Zhao, Xiaoai Zhang, Xinchuan Li, Xiaojun Kang, Hong Yao:
Anchors-Based Incremental Embedding for Growing Knowledge Graphs. 3458-3470 - Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin:
CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering. 3471-3483 - Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu, Goce Trajcevski:
CasFlow: Exploring Hierarchical Structures and Propagation Uncertainty for Cascade Prediction. 3484-3499 - Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks With Categorical Node Features. 3500-3511 - Conor Fahy, Shengxiang Yang, Mario Gongora:
Classification in Dynamic Data Streams With a Scarcity of Labels. 3512-3524 - Fan Yang, Adina Crainiceanu, Zhiyuan Chen, Don Needham:
Cluster-Based Joins for Federated SPARQL Queries. 3525-3539 - Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei:
CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network. 3540-3550 - Xianli Zhang, Buyue Qian, Yang Li, Shilei Cao, Ian Davidson:
Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability. 3551-3562 - Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng:
Contrastive Graph Representations for Logical Formulas Embedding. 3563-3574 - Yang Yang, Da-Wei Zhou, De-Chuan Zhan, Hui Xiong, Yuan Jiang, Jian Yang:
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling. 3575-3588 - Tianfu He, Jie Bao, Yexin Li, Hui He, Yu Zheng:
Crowd-Sensing Enhanced Parking Patrol Using Sharing Bikes' Trajectories. 3589-3602 - Mostafa Milani, Yu Huang, Fei Chiang:
Data Anonymization With Diversity Constraints. 3603-3618 - Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li:
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy. 3619-3631 - Yifan Li, Xiaoyan Peng, Jia Zhang, Zhiyong Li, Ming Wen:
DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection. 3632-3644 - Mubashir Imran, Hongzhi Yin, Tong Chen, Zi Huang, Kai Zheng:
DeHIN: A Decentralized Framework for Embedding Large-Scale Heterogeneous Information Networks. 3645-3657 - Debajyoti Bera, Rameshwar Pratap, Bhisham Dev Verma:
Dimensionality Reduction for Categorical Data. 3658-3671 - Xavier Ferrer Aran, Tom van Nuenen, Natalia Criado, Jose M. Such:
Discovering and Interpreting Biased Concepts in Online Communities. 3672-3683 - Yifeng Jin, Zijing Tan, Jixuan Chen, Shuai Ma:
Discovery of Approximate Lexicographical Order Dependencies. 3684-3698 - Dapeng Zhang, Feng Xiao:
Dynamic Auto-Structuring Graph Neural Network: A Joint Learning Framework for Origin-Destination Demand Prediction. 3699-3711 - Tingting Wang, Hui Luo, Zhifeng Bao, Lei Duan:
Dynamic Ridesharing With Minimal Regret: Towards an Enhanced Engagement Among Three Stakeholders. 3712-3726 - Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang, Rui Mao, Xiangliang Zhang:
Dynamic Set Similarity Join: An Update Log Based Approach. 3727-3741 - Tran Xuan Bach, Nguyen Duc Anh, Ngo Van Linh, Khoat Than:
Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams. 3742-3750 - Yawen Chen, Zeyi Wen, Bingsheng He, Jian Chen:
Efficient Decomposition Selection for Multi-class Classification. 3751-3764 - Xiaoping Liang, Zhenjun Tang, Ziqing Huang, Xianquan Zhang, Shichao Zhang:
Efficient Hashing Method Using 2D-2D PCA for Image Copy Detection. 3765-3778 - Wensheng Luo, Xu Zhou, Kenli Li, Yunjun Gao, Keqin Li:
Efficient Influential Community Search in Large Uncertain Graphs. 3779-3793 - Xiaolong Wan, Hongzhi Wang:
Efficient Semi-External SCC Computation. 3794-3807 - Yafei Li, Hongyan Gu, Rui Chen, Jianliang Xu, Shangwei Guo, Junxiao Xue, Mingliang Xu:
Efficient Top-k Matching for Publish/Subscribe Ride Hitching. 3808-3821 - Zhihong Fang, Shaolin Tan, Yaonan Wang, Jinhu Lü:
Elementary Subgraph Features for Link Prediction With Neural Networks. 3822-3831 - Yunbo Tang, Dan Chen, Yiping Zuo, Xiaoqiang Lu, Rajiv Ranjan, Albert Y. Zomaya, Quanming Yao, Xiaoli Li:
Enhanced Bayesian Factorization With Variant Scale Partitioning for Multivariate Time Series Analysis. 3832-3845 - Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks. 3846-3857 - Yilin Zhang, Ziran Li, Zhiyuan Liu, Hai-Tao Zheng, Ying Shen, Lan Zhou:
Event Detection With Dynamic Word-Trigger-Argument Graph Neural Networks. 3858-3869 - Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, Kai Chen:
Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework. 3870-3884 - Kaixiang Yang, Yuchen Liu, Zhiwen Yu, C. L. Philip Chen:
Extracting and Composing Robust Features With Broad Learning System. 3885-3896 - Xin Luo, Yue Zhou, Zhigang Liu, MengChu Zhou:
Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems. 3897-3911 - Wei Huang, Jia Liu, Tianrui Li, Tianqiang Huang, Shenggong Ji, Jihong Wan:
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. 3912-3924 - Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-Paths. 3925-3937 - Wei Wang, Xiaoyang Suo, Xiangyu Wei, Bin Wang, Hao Wang, Hong-Ning Dai, Xiangliang Zhang:
HGATE: Heterogeneous Graph Attention Auto-Encoders. 3938-3951 - Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu:
Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning. 3952-3965 - Zi Chen, Long Yuan, Li Han, Zhengping Qian:
Higher-Order Truss Decomposition in Graphs. 3966-3978 - Dragan Milicev:
Hyper-Relations: A Model for Denormalization of Transactional Relational Databases. 3979-3990 - Yadan Luo, Zi Huang, Hongxu Chen, Yang Yang, Hongzhi Yin, Mahsa Baktashmotlagh:
Interpretable Signed Link Prediction With Signed Infomax Hyperbolic Graph. 3991-4002 - Zitong Chen, Ada Wai-Chee Fu, Cheng Long, Yang Wu:
k-Pleased Querying. 4003-4017 - Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu:
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. 4018-4032 - Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning:
M2: Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. 4033-4046 - Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong:
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks. 4047-4061 - Haonan Zhang, Luoyi Fu, Jiaxin Ding, Feilong Tang, Yao Xiao, Xinbing Wang, Guihai Chen, Chenghu Zhou:
Maximizing the Spread of Effective Information in Social Networks. 4062-4076 - Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu:
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. 4077-4091 - Schahram Dustdar, Victor Casamayor-Pujol, Praveen Kumar Donta:
On Distributed Computing Continuum Systems. 4092-4105 - Wenchao Sun, Muyang Ma, Pengjie Ren, Yujie Lin, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke:
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations. 4106-4123 - Zhengyi Du, Xiongtao Pang, Haifeng Qian:
PartitionChain: A Scalable and Reliable Data Storage Strategy for Permissioned Blockchain. 4124-4136 - Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Wanlei Zhou, Wei Zhao:
Privacy Data Propagation and Preservation in Social Media: A Real-World Case Study. 4137-4150 - Jeyamohan Neera, Xiaomin Chen, Nauman Aslam, Kezhi Wang, Zhan Shu:
Private and Utility Enhanced Recommendations With Local Differential Privacy and Gaussian Mixture Model. 4151-4163 - Xun Jian, Yue Wang, Lei Chen:
Publishing Graphs Under Node Differential Privacy. 4164-4177 - Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Donglei Liu, James Chambua, Shanshan Wan, Zhendong Niu:
Recommending Learning Objects Through Attentive Heterogeneous Graph Convolution and Operation-Aware Neural Network. 4178-4189 - Yanli Ji, Yuhan Hu, Yang Yang, Heng Tao Shen:
Region Attention Enhanced Unsupervised Cross-Domain Facial Emotion Recognition. 4190-4201 - Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. 4202-4215 - Lirong Wu, Haitao Lin, Cheng Tan, Zhangyang Gao, Stan Z. Li:
Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive. 4216-4235 - Viet Vo, Xingliang Yuan, Shi-Feng Sun, Joseph K. Liu, Surya Nepal, Cong Wang:
ShieldDB: An Encrypted Document Database With Padding Countermeasures. 4236-4252 - Zheng Wang, Cheng Long, Gao Cong:
Similar Sports Play Retrieval With Deep Reinforcement Learning. 4253-4266 - Francesco Di Mauro, K. Selçuk Candan, Maria Luisa Sapino:
Tensor-Train Decomposition in the Presence of Interval-Valued Data. 4267-4280 - Satyaki Sikdar, Daniel Gonzalez Cedre, Trenton W. Ford, Tim Weninger:
The Infinity Mirror Test for Graph Models. 4281-4292 - Shenghua Liu, Bin Zhou, Quan Ding, Bryan Hooi, Zhengbo Zhang, Huawei Shen, Xueqi Cheng:
Time Series Anomaly Detection With Adversarial Reconstruction Networks. 4293-4306 - Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang:
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. 4307-4320 - Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. 4321-4334 - Jinjing Shi, Zhenhuan Li, Wei Lai, Fangfang Li, Ronghua Shi, Yanyan Feng, Shichao Zhang:
Two End-to-End Quantum-Inspired Deep Neural Networks for Text Classification. 4335-4345 - Xin Guo, Zhengxu Yu, Pengfei Wang, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua:
Urban Traffic Light Control via Active Multi-Agent Communication and Supply-Demand Modeling. 4346-4356
Volume 35, Number 5, May 2023
- Fei Teng, Yiming Liu, Tianrui Li, Yi Zhang, Shuangqing Li, Yue Zhao:
A Review on Deep Neural Networks for ICD Coding. 4357-4375 - Andrew LeClair, Alicia Marinache, Haya El Ghalayini, Wendy MacCaull, Ridha Khédri:
A Review on Ontology Modularization Techniques - A Multi-Dimensional Perspective. 4376-4394 - Qingshuai Wang, Yuming Li, Rong Zhang, Ke Shu, Zhenjie Zhang, Aoying Zhou:
A Scalable Query-Aware Enormous Database Generator for Database Evaluation. 4395-4410 - Xiangyang Gou, Yinda Zhang, Zhoujing Hu, Long He, Ke Wang, Xilai Liu, Tong Yang, Yi Wang, Bin Cui:
A Sketch Framework for Approximate Data Stream Processing in Sliding Windows. 4411-4424 - Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. 4425-4445 - Qingpeng Cai, Can Cui, Yiyuan Xiong, Wei Wang, Zhongle Xie, Meihui Zhang:
A Survey on Deep Reinforcement Learning for Data Processing and Analytics. 4446-4465 - Nicholas O. Malott, Shangye Chen, Philip A. Wilsey:
A Survey on the High-Performance Computation of Persistent Homology. 4466-4484 - Lijun Chang, Xing Feng, Kai Yao, Lu Qin, Wenjie Zhang:
Accelerating Graph Similarity Search via Efficient GED Computation. 4485-4498 - Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang:
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. 4499-4513 - Chao Zhang, Kai Zhao, Meng Chen:
Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability. 4514-4526 - Shiyuan He, Weiyang Wang, Zheng Wang, Xing Xu, Yang Yang, Xiaoming Wang, Heng Tao Shen:
Category Alignment Adversarial Learning for Cross-Modal Retrieval. 4527-4538 - Xovee Xu, Fan Zhou, Kunpeng Zhang, Siyuan Liu:
CCGL: Contrastive Cascade Graph Learning. 4539-4554 - Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King:
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. 4555-4569 - Rui Wang, Yongkun Li, Shuai Lin, Weijie Wu, Hong Xie, Yinlong Xu, John C. S. Lui:
Common Neighbors Matter: Fast Random Walk Sampling With Common Neighbor Awareness. 4570-4584 - Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang:
Concept Drift Detection Delay Index. 4585-4597 - Alexandre Bazin, Nicolas Gros, Aurélie Bertaux, Christophe Nicolle:
Condensed Representations of Association Rules in n-Ary Relations. 4598-4607 - Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang:
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. 4608-4620 - Jia Liu, Wei Huang, Tianrui Li, Shenggong Ji, Junbo Zhang:
Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation. 4621-4633 - Huiling Qin, Xianyuan Zhan, Yu Zheng:
CSCAD: Correlation Structure-Based Collective Anomaly Detection in Complex System. 4634-4645 - Chengliang Chai, Jiayi Wang, Yuyu Luo, Zeping Niu, Guoliang Li:
Data Management for Machine Learning: A Survey. 4646-4667 - Shaochen Yu, Tianwa Chen, Lei Han, Gianluca Demartini, Shazia Sadiq:
DataOps-4G: On Supporting Generalists in Data Quality Discovery. 4668-4681 - Yunpeng Xiao, Zhen Huang, Qian Li, Xingyu Lu, Tun Li:
Diffusion Pixelation: A Game Diffusion Model of Rumor & Anti-Rumor Inspired by Image Restoration. 4682-4694 - Franco Maria Nardini, Cosimo Rulli, Salvatore Trani, Rossano Venturini:
Distilled Neural Networks for Efficient Learning to Rank. 4695-4712 - Faming Li, Zhaonian Zou, Jianzhong Li:
Durable Subgraph Matching on Temporal Graphs. 4713-4726 - Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. 4727-4740 - Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. 4741-4753 - Yuhan Chai, Lei Du, Jing Qiu, Lihua Yin, Zhihong Tian:
Dynamic Prototype Network Based on Sample Adaptation for Few-Shot Malware Detection. 4754-4766 - Teng Qiu, Yong-Jie Li:
Fast LDP-MST: An Efficient Density-Peak-Based Clustering Method for Large-Size Datasets. 4767-4780 - Hong Chen, Feiping Nie, Rong Wang, Xuelong Li:
Fast Unsupervised Feature Selection With Bipartite Graph and $\ell _{2,0}$ℓ2,0-Norm Constraint. 4781-4793 - Ruili Wang, Feng Hou, Steven F. Cahan, Lily Chen, Xiaoyun Jia, Wanting Ji:
Fine-Grained Entity Typing With a Type Taxonomy: A Systematic Review. 4794-4812 - Jiajia Chen, Xin Xin, Xianfeng Liang, Xiangnan He, Jun Liu:
GDSRec: Graph-Based Decentralized Collaborative Filtering for Social Recommendation. 4813-4824 - Gong Cheng, Qingxia Liu, Yuzhong Qu:
Generating Characteristic Summaries for Entity Descriptions. 4825-4837 - Chengjin Xu, Mojtaba Nayyeri, Yung-Yu Chen, Jens Lehmann:
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion. 4838-4851 - Haopeng Ren, Yi Cai, Raymond Y. K. Lau, Ho-fung Leung, Qing Li:
Granularity-Aware Area Prototypical Network With Bimargin Loss for Few Shot Relation Classification. 4852-4866 - Wenwen Xia, Yuchen Li, Shenghong Li:
Graph Neural Point Process for Temporal Interaction Prediction. 4867-4879 - You Li, Bei Lin, Binli Luo, Ning Gui:
Graph Representation Learning Beyond Node and Homophily. 4880-4893 - Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu, Bo Zong:
Graph Substructure Assembling Network With Soft Sequence and Context Attention. 4894-4907 - Quanyu Dai, Xiao-Ming Wu, Jiaren Xiao, Xiao Shen, Dan Wang:
Graph Transfer Learning via Adversarial Domain Adaptation With Graph Convolution. 4908-4922 - Zeming Liu, Ding Zhou, Hao Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu, Hui Xiong:
Graph-Grounded Goal Planning for Conversational Recommendation. 4923-4939 - Jihua Zhu, Yujiao He, Guoshuai Zhao, Xuxiao Bu, Xueming Qian:
Joint Reason Generation and Rating Prediction for Explainable Recommendation. 4940-4953 - Ziyu Lyu, Yue Wu, Junjie Lai, Min Yang, Chengming Li, Wei Zhou:
Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. 4954-4968 - Bingcong Xue, Lei Zou:
Knowledge Graph Quality Management: A Comprehensive Survey. 4969-4988 - Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu:
Learning Decomposed Representations for Treatment Effect Estimation. 4989-5001 - Huynh Thanh Trung, Tong Van Vinh, Thanh Tam Nguyen, Jun Jo, Hongzhi Yin, Nguyen Quoc Viet Hung:
Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts. 5002-5016 - Hao Xiong, Junchi Yan, Zengfeng Huang:
Learning Regularized Noise Contrastive Estimation for Robust Network Embedding. 5017-5034 - Tuo Wang, Xiang Zhang, Long Lan, Zhigang Luo:
Local-to-Global Deep Clustering on Approximate Uniform Manifold. 5035-5046 - Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. 5047-5059 - Jie Zhou, Witold Pedrycz, Jun Wan, Can Gao, Zhihui Lai, Xiaodong Yue:
Low-Rank Linear Embedding for Robust Clustering. 5060-5075 - Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai:
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering. 5076-5090 - Zheng Zhang, Haoyang Luo, Lei Zhu, Guangming Lu, Heng Tao Shen:
Modality-Invariant Asymmetric Networks for Cross-Modal Hashing. 5091-5104 - Xiaojun Xue, Chunxia Zhang, Zhendong Niu, Xindong Wu:
Multi-Level Attention Map Network for Multimodal Sentiment Analysis. 5105-5118 - Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen:
Network Representation Lightening From Hashing to Quantization. 5119-5131 - Yufu Chen, Zhiqi Lei, Yanghui Rao, Haoran Xie, Fu Lee Wang, Jian Yin, Qing Li:
Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. 5132-5146 - Kai Ming Ting, Jonathan R. Wells, Ye Zhu:
Point-Set Kernel Clustering. 5147-5158 - Qiuyun Tong, Xinghua Li, Yinbin Miao, Ximeng Liu, Jian Weng, Robert H. Deng:
Privacy-Preserving Boolean Range Query With Temporal Access Control in Mobile Computing. 5159-5172 - Ai-Te Kuo, Haiquan Chen, Liang Tang, Wei-Shinn Ku, Xiao Qin:
ProbSky: Efficient Computation of Probabilistic Skyline Queries Over Distributed Data. 5173-5186 - Ming Zhong, Yingyi Zheng, Guotong Xue, Mengchi Liu:
Reliable Keyword Query Interpretation on Summary Graphs. 5187-5202 - Hui Xia, Shu-shu Shao, Chunqiang Hu, Rui Zhang, Tie Qiu, Fu Xiao:
Robust Clustering Model Based on Attention Mechanism and Graph Convolutional Network. 5203-5215 - Jialin Wang, Xiaoru Qu, Jinze Bai, Zhao Li, Ji Zhang, Jun Gao:
SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning. 5216-5229 - Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang:
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. 5230-5243 - Zhen Jiang, Yongzhao Zhan, Qirong Mao, Yang Du:
Semi-Supervised Clustering Under a "Compact-Cluster" Assumption. 5244-5256 - Zhen Wang, Long Zhang, Rong Wang, Feiping Nie, Xuelong Li:
Semi-Supervised Learning via Bipartite Graph Construction With Adaptive Neighbors. 5257-5268 - Qingren Wang, Chengcheng Zhu, Yiwen Zhang, Hong Zhong, Jinqin Zhong, Victor S. Sheng:
Short Text Topic Learning Using Heterogeneous Information Network. 5269-5281 - Zhaoyuan Wang, Zheyi Pan, Shun Chen, Shenggong Ji, Xiuwen Yi, Junbo Zhang, Jingyuan Wang, Zhiguo Gong, Tianrui Li, Yu Zheng:
Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning. 5282-5295 - Dingqi Yang, Bingqing Qu, Jie Yang, Liang Wang, Philippe Cudré-Mauroux:
Streaming Graph Embeddings via Incremental Neighborhood Sketching. 5296-5310 - Yan Jiang, Guannan Liu, Junjie Wu, Hao Lin:
Telecom Fraud Detection via Hawkes-Enhanced Sequence Model. 5311-5324 - Nur Al Hasan Haldar, Jianxin Li, Mohammed Eunus Ali, Taotao Cai, Yunliang Chen, Timos Sellis, Mark Reynolds:
Top-k Socio-Spatial Co-Engaged Location Selection for Social Users. 5325-5340 - Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong:
Towards Automatic Job Description Generation With Capability-Aware Neural Networks. 5341-5355 - Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu:
Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning. 5356-5370 - Yaochen Zhu, Zhenzhong Chen:
Variational Bandwidth Auto-Encoder for Hybrid Recommender Systems. 5371-5385 - Qiuyun Tong, Yinbin Miao, Jian Weng, Ximeng Liu, Kim-Kwang Raymond Choo, Robert H. Deng:
Verifiable Fuzzy Multi-Keyword Search Over Encrypted Data With Adaptive Security. 5386-5399 - Xuanzhi Zheng, Guoshuai Zhao, Li Zhu, Jihua Zhu, Xueming Qian:
What You Like, What I Am: Online Dating Recommendation via Matching Individual Preferences With Features. 5400-5412 - Xuan Yang, Yang Yang, Jintao Su, Yifei Sun, Shen Fan, Zhongyao Wang, Jun Zhang, Jingmin Chen:
Who's Next: Rising Star Prediction via Diffusion of User Interest in Social Networks. 5413-5425 - Yang Shi, Xiushan Nie, Xingbo Liu, Lu Yang, Yilong Yin:
Zero-Shot Hashing via Asymmetric Ratio Similarity Matrix. 5426-5437 - Zhongchen Ma, Songcan Chen:
A Similarity-Based Framework for Classification Task. 5438-5443
Volume 35, Number 6, June 2023
- Lianyong Qi, Wenmin Lin, Xuyun Zhang, Wanchun Dou, Xiaolong Xu, Jinjun Chen:
A Correlation Graph Based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development. 5444-5457 - Ming-Hao Tung, Yi-Ping Phoebe Chen, Chen-Yu Liu, Chung-Shou Liao:
A Fast and More Accurate Seed-and-Extension Density-Based Clustering Algorithm. 5458-5471 - Hamid Roghani, Asgarali Bouyer:
A Fast Local Balanced Label Diffusion Algorithm for Community Detection in Social Networks. 5472-5484 - Wilco van Leeuwen, George Fletcher, Nikolay Yakovets:
A General Cardinality Estimation Framework for Subgraph Matching in Property Graphs. 5485-5505 - Pengyun Zhu, Chaowei Zhang, Xiaofeng Li, Jifu Zhang, Xiao Qin:
A High-Dimensional Outlier Detection Approach Based on Local Coulomb Force. 5506-5520 - Houping Xiao, Shiyu Wang:
A Joint Maximum Likelihood Estimation Framework for Truth Discovery: A Unified Perspective. 5521-5533 - Lanting Fang, Yong Luo, Kaiyu Feng, Kaiqi Zhao, Aiqun Hu:
A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding. 5534-5549 - Yi Sun, Lijun Cai, Bo Liao, Wen Zhu, Junlin Xu:
A Robust Oversampling Approach for Class Imbalance Problem With Small Disjuncts. 5550-5562 - Chaoyu Gong, Zhi-gang Su, Pei-hong Wang, Qian Wang, Yang You:
A Sparse Reconstructive Evidential K-Nearest Neighbor Classifier for High-Dimensional Data. 5563-5576 - Fengmei Jin, Wen Hua, Matteo Francia, Pingfu Chao, Maria E. Orlowska, Xiaofang Zhou:
A Survey and Experimental Study on Privacy-Preserving Trajectory Data Publishing. 5577-5596 - Li Sun, Zhongbao Zhang, Feiyang Wang, Pengxin Ji, Jian Wen, Sen Su, Philip S. Yu:
Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder. 5597-5611 - Xinyu Liu, Yu Pan, Yusen Li, Gang Wang, Xiaoguang Liu:
An NVM SSD-Based High Performance Query Processing Framework for Search Engines. 5612-5625 - Yue Han, Guoliang Li, Haitao Yuan, Ji Sun:
$\mathtt {AutoView}$: An Autonomous Materialized View Management System With Encoder-Reducer. 5626-5639 - Xiaorui Su, Zhuhong You, Deshuang Huang, Lei Wang, Leon Wong, Boya Ji, Bowei Zhao:
Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction. 5640-5651 - Mingqi Yang, Renjian Wang, Yanming Shen, Heng Qi, Baocai Yin:
Breaking the Expression Bottleneck of Graph Neural Networks. 5652-5664 - Ju Jia, Meng Luo, Siqi Ma, Lina Wang, Yang Liu:
Consensus-Clustering-Based Automatic Distribution Matching for Cross-Domain Image Steganalysis. 5665-5679 - Jiping Zheng, Wei Ma, Yanhao Wang, Xiaoyang Wang:
Continuous k-Regret Minimization Queries: A Dynamic Coreset Approach. 5680-5694 - Yitong Ren, Yanjun Xiao, Yinghai Zhou, Zhiyong Zhang, Zhihong Tian:
CSKG4APT: A Cybersecurity Knowledge Graph for Advanced Persistent Threat Organization Attribution. 5695-5709 - Bo Zhang, Xiaoming Zhang, Feiran Huang, Ming Lu, Shuai Ma:
Deep Kernel Network Embedding. 5710-5723 - Muneeb Ul Hassan, Mubashir Husain Rehmani, Jia Tina Du, Jinjun Chen:
Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid. 5724-5737 - Nian Li, Chen Gao, Depeng Jin, Qingmin Liao:
Disentangled Modeling of Social Homophily and Influence for Social Recommendation. 5738-5751 - Konstantinos Bountrogiannis, George Tzagkarakis, Panagiotis Tsakalides:
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection. 5752-5766 - Yafei Li, Qingshun Wu, Xin Huang, Jianliang Xu, Wanru Gao, Mingliang Xu:
Efficient Adaptive Matching for Real-Time City Express Delivery. 5767-5779 - Tianru Zhang, Andreas Hellander, Salman Toor:
Efficient Hierarchical Storage Management Empowered by Reinforcement Learning. 5780-5793 - Georgios Chatzigeorgakidis, Dimitrios Skoutas, Kostas Patroumpas, Themis Palpanas, Spiros Athanasiou, Spiros Skiadopoulos:
Efficient Range and kNN Twin Subsequence Search in Time Series. 5794-5807 - Yuhang Su, Yu Gu, Zhigang Wang, Ying Zhang, Jianbin Qin, Ge Yu:
Efficient Subhypergraph Matching Based on Hyperedge Features. 5808-5822 - Yu Zhang, Yuxuan Liang, Jin Zhao, Fubing Mao, Lin Gu, Xiaofei Liao, Hai Jin, Haikun Liu, Song Guo, Yangqing Zeng, Hang Hu, Chen Li, Ji Zhang, Biao Wang:
EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing. 5823-5836 - Penglei Gao, Xi Yang, Rui Zhang, Kaizhu Huang, John Yannis Goulermas:
Explainable Tensorized Neural Ordinary Differential Equations for Arbitrary-Step Time Series Prediction. 5837-5850 - Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu:
Fine-Grained Urban Flow Inference With Incomplete Data. 5851-5864 - Nan Jiang, Jie Wen, Jin Li, Ximeng Liu, Di Jin:
GATrust: A Multi-Aspect Graph Attention Network Model for Trust Assessment in OSNs. 5865-5878 - Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu:
Graph Self-Supervised Learning: A Survey. 5879-5900 - Xiangyang Gou, Lei Zou, Chenxingyu Zhao, Tong Yang:
Graph Stream Sketch: Summarizing Graph Streams With High Speed and Accuracy. 5901-5914 - Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. 5915-5934 - Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong:
Heterogeneous Graph Representation Learning With Relation Awareness. 5935-5947 - Giulia Bernardini, Alessio Conte, Garance Gourdel, Roberto Grossi, Grigorios Loukides, Nadia Pisanti, Solon P. Pissis, Giulia Punzi, Leen Stougie, Michelle Sweering:
Hide and Mine in Strings: Hardness, Algorithms, and Experiments. 5948-5963 - Yaojin Lin, Haoyang Liu, Hong Zhao, Qinghua Hu, Xingquan Zhu, Xindong Wu:
Hierarchical Feature Selection Based on Label Distribution Learning. 5964-5976 - Han Liu, Yinwei Wei, Jianhua Yin, Liqiang Nie:
HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation. 5977-5990 - Subhabrata Dutta, Shravika Mittal, Dipankar Das, Soumen Chakrabarti, Tanmoy Chakraborty:
Incomplete Gamma Integrals for Deep Cascade Prediction Using Content, Network, and Exogenous Signals. 5991-6002 - Jia-Nan Guo, Xian-Ling Mao, Wei Wei, Heyan Huang:
Intra-Category Aware Hierarchical Supervised Document Hashing. 6003-6013 - Abolfazl Taghribi, Kerstin Bunte, Rory Smith, Jihye Shin, Michele Mastropietro, Reynier F. Peletier, Peter Tino:
LAAT: Locally Aligned Ant Technique for Discovering Multiple Faint Low Dimensional Structures of Varying Density. 6014-6027 - Gaoyang Guo, Chaokun Wang, Bencheng Yan, Yunkai Lou, Hao Feng, Junchao Zhu, Jun Chen, Fei He, Philip S. Yu:
Learning Adaptive Node Embeddings Across Graphs. 6028-6042 - Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong:
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. 6043-6057 - Longyuan Li, Junchi Yan, Qingsong Wen, Yaohui Jin, Xiaokang Yang:
Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series. 6058-6072 - Zengyou He, Wenfang Chen, Xiaoqi Wei, Yan Liu:
Mining Statistically Significant Communities From Weighted Networks. 6073-6084 - Lingling Zhang, Shaowei Wang, Jun Liu, Xiaojun Chang, Qika Lin, Yaqiang Wu, Qinghua Zheng:
MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification. 6085-6098 - Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. 6099-6112 - Abdulkadir Çelikkanat, Yanning Shen, Fragkiskos D. Malliaros:
Multiple Kernel Representation Learning on Networks. 6113-6125 - Honghong Cheng, Yuhua Qian, Yingjie Guo, Keyin Zheng, Qingfu Zhang:
Neighborhood Information-Based Method for Multivariate Association Mining. 6126-6135 - Chuan-hao Lin, Linchuan Xu, Kenji Yamanishi:
Network Change Detection Based on Random Walk in Latent Space. 6136-6147 - Xin Luo, Hao Wu, Zechao Li:
Neulft: A Novel Approach to Nonlinear Canonical Polyadic Decomposition on High-Dimensional Incomplete Tensors. 6148-6166 - Tuanfei Zhu, Xinwang Liu, En Zhu:
Oversampling With Reliably Expanding Minority Class Regions for Imbalanced Data Learning. 6167-6181 - Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu:
Permutation-Equivariant and Proximity-Aware Graph Neural Networks With Stochastic Message Passing. 6182-6193 - Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Hui Xiong:
Polestar++: An Intelligent Routing Engine for National-Wide Public Transportation. 6194-6208 - Baibhav Rajbhandari, Paul W. Olsen, Jeremy Birnbaum, Jeong-Hyon Hwang:
PRESTO: Fast and Effective Group Closeness Maximization. 6209-6223 - Xiangyu Hu, Tianqing Zhu, Xuemeng Zhai, Hengming Wang, Wanlei Zhou, Wei Zhao:
Privacy Data Diffusion Modeling and Preserving in Online Social Network. 6224-6237 - Xiaolong Wan, Hongzhi Wang:
Reachability Queries With Label and Substructure Constraints on Knowledge Graphs. 6238-6251 - Peng Gang Sun, Xunlian Wu, Yi-Ning Quan, Qiguang Miao:
Rearranging 'indivisible' Blocks for Community Detection. 6252-6263 - Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang:
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. 6264-6277 - Dawei Cheng, Zhibin Niu, Jie Li, Changjun Jiang:
Regulating Systemic Crises: Stemming the Contagion Risk in Networked-Loans Through Deep Graph Learning. 6278-6289 - Weijia Zhang, Hao Liu, Hui Xiong, Tong Xu, Fan Wang, Haoran Xin, Hua Wu:
RLCharge: Imitative Multi-Agent Spatiotemporal Reinforcement Learning for Electric Vehicle Charging Station Recommendation. 6290-6304 - Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen:
SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. 6305-6319 - Dingheng Mo, Siqiang Luo:
Single-Source Personalized PageRanks With Workload Robustness. 6320-6334 - Ander Carreño, Iñaki Inza, José Antonio Lozano:
SNDProb: A Probabilistic Approach for Streaming Novelty Detection. 6335-6348 - Yu Huang, Gary G. Yen, Vincent S. Tseng:
Snippet Policy Network for Multi-Class Varied-Length ECG Early Classification. 6349-6361 - Rong Wang, Canyu Zhang, Jintang Bian, Zheng Wang, Feiping Nie, Xuelong Li:
Sparse and Flexible Projections for Unsupervised Feature Selection. 6362-6375 - Yuan-Ting Yan, Yuanwei Zhu, Ruiqing Liu, Yiwen Zhang, Yanping Zhang, Ling Zhang:
Spatial Distribution-Based Imbalanced Undersampling. 6376-6391 - Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li:
Stable Prediction With Leveraging Seed Variable. 6392-6404 - Qi Zhang, Rong-Hua Li, Hongchao Qin, Guoren Wang, Zhiwei Zhang, Ye Yuan:
Stable Subgraph Isomorphism Search in Temporal Networks. 6405-6420 - Matteo Francia, Matteo Golfarelli, Patrick Marcel, Stefano Rizzi, Panos Vassiliadis:
Suggesting Assess Queries for Interactive Analysis of Multidimensional Data. 6421-6434 - Shih Yu Chang, Hsiao-Chun Wu:
Tensor Kalman Filter and Its Applications. 6435-6448 - Chang Tang, Zhenglai Li, Jun Wang, Xinwang Liu, Wei Zhang, En Zhu:
Unified One-Step Multi-View Spectral Clustering. 6449-6460 - Donglin Zhang, Xiaojun Wu, Tianyang Xu, Josef Kittler:
WATCH: Two-Stage Discrete Cross-Media Hashing. 6461-6474 - Chao Zhang, Huaxiong Li, Yang Gao, Chunlin Chen:
Weakly-Supervised Enhanced Semantic-Aware Hashing for Cross-Modal Retrieval. 6475-6488 - Hongke Zhao, Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang:
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising. 6489-6503 - Naiyao Liang, Zuyuan Yang, Shengli Xie:
Incomplete Multi-View Clustering With Sample-Level Auto-Weighted Graph Fusion. 6504-6511 - Shuangjia Zheng, Sijie Mai, Ya Sun, Haifeng Hu, Yuedong Yang:
Subgraph-Aware Few-Shot Inductive Link Prediction Via Meta-Learning. 6512-6517
Volume 35, Number 7, July 2023
- Binhui Xie, Shuang Li, Fangrui Lv, Chi Harold Liu, Guoren Wang, Dapeng Oliver Wu:
A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation. 6518-6533 - Janaka Chathuranga Brahmanage, Thivya Kandappu, Baihua Zheng:
A Data-Driven Approach for Scheduling Bus Services Subject to Demand Constraints. 6534-6547 - Jianzhong Qi, Zhuowei Zhao, Egemen Tanin, Tingru Cui, Neema Nassir, Majid Sarvi:
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction. 6548-6560 - Wendong Zheng, Putian Zhao, Gang Chen, Huihui Zhou, Yonghong Tian:
A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment. 6561-6574 - Xiangwu Meng, Yulu Du, Yujie Zhang, Xiaofeng Han:
A Survey of Context-Aware Recommender Systems: From an Evaluation Perspective. 6575-6594 - Yangkun Li, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma, Yuekui Yang:
A Survey on Dropout Methods and Experimental Verification in Recommendation. 6595-6615 - Ankita Mandal, Pradipta Maji:
Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data. 6616-6629 - Xiaoye Miao, Yangyang Wu, Lu Chen, Yunjun Gao, Jianwei Yin:
An Experimental Survey of Missing Data Imputation Algorithms. 6630-6650 - Nur Athirah Azhar, Muhammad Syafiq Mohd Pozi, Aniza Mohamed Din, Adam Jatowt:
An Investigation of SMOTE Based Methods for Imbalanced Datasets With Data Complexity Analysis. 6651-6672 - Shuming Kong, Weiyu Cheng, Yanyan Shen, Linpeng Huang:
AutoSrh: An Embedding Dimensionality Search Framework for Tabular Data Prediction. 6673-6686 - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering. 6687-6697 - Daoming Zong, Shiliang Sun:
BGNN-XML: Bilateral Graph Neural Networks for Extreme Multi-Label Text Classification. 6698-6709 - Haipeng Dai, Jun Yu, Meng Li, Wei Wang, Alex X. Liu, Jinghao Ma, Lianyong Qi, Guihai Chen:
Bloom Filter With Noisy Coding Framework for Multi-Set Membership Testing. 6710-6724 - Shuai Zhao, Ruiqiang Liu, Bo Cheng, Daxing Zhao:
Classification-Labeled Continuousization and Multi-Domain Spatio-Temporal Fusion for Fine-Grained Urban Crime Prediction. 6725-6738 - Daeyoung Hong, Woohwan Jung, Kyuseok Shim:
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation. 6739-6751 - Xiang Cheng, Jianyu Yang, Yufei Wang, Rui Chen, Sen Su, Yuejia Li:
Collecting Preference Rankings Under Local Differential Privacy. 6752-6766 - Xue Zhang, Qinghua Li, Cuiping Li, Hong Chen:
ConPhrase: Enhancing Context-Aware Phrase Mining From Text Corpora. 6767-6783 - Qiao Xue, Qingqing Ye, Haibo Hu, Youwen Zhu, Jian Wang:
DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy. 6784-6797 - Rong-Cheng Tu, Xian-Ling Mao, Rongxin Tu, Bin-Bin Bian, Chengfei Cai, Hongfa Wang, Wei Wei, Heyan Huang:
Deep Cross-Modal Proxy Hashing. 6798-6810 - Duc-Vinh Vo, Trung-Tin Tran, Kiyoaki Shirai, Van-Nam Huynh:
Deep Generative Networks Coupled With Evidential Reasoning for Dynamic User Preferences Using Short Texts. 6811-6826 - Marzieh Hajizadeh Tahan, Mohammad Ghasemzadeh, Shahrokh Asadi:
Development of Fully Convolutional Neural Networks Based on Discretization in Time Series Classification. 6827-6838 - Miika Hannula, Zhuoxing Zhang, Bor-Kuan Song, Sebastian Link:
Discovery of Cross Joins. 6839-6851 - Tianming Liang, Yang Liu, Xiaoyan Liu, Hao Zhang, Gaurav Sharma, Maozu Guo:
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. 6852-6865 - Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. 6866-6886 - Ben Yang, Xuetao Zhang, Zhongheng Li, Feiping Nie, Fei Wang:
Efficient Multi-View K-Means Clustering With Multiple Anchor Graphs. 6887-6900 - Lei Zhu, Yang Xu, Jingjing Li, Weili Guan, Zhiyong Cheng:
Explainable Discrete Collaborative Filtering. 6901-6915 - Lei Xu, Zhenyu He, Kai Wang, Chang-Dong Wang, Shu-Qiang Huang:
Explicit Message-Passing Heterogeneous Graph Neural Network. 6916-6929 - Wei Chen, Hongjun Wang, Zhiguo Long, Tianrui Li:
Fast Flexible Bipartite Graph Model for Co-Clustering. 6930-6940 - Fuyuan Xiao, Junhao Wen, Witold Pedrycz:
Generalized Divergence-Based Decision Making Method With an Application to Pattern Classification. 6941-6956 - Ying Zhao, Dong Yuan, Jia Tina Du, Jinjun Chen:
Geo-Ellipse-Indistinguishability: Community-Aware Location Privacy Protection for Directional Distribution. 6957-6967 - Qiang Huang, Makoto Yamada, Yuan Tian, Dinesh Singh, Yi Chang:
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks. 6968-6972 - Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou:
GraphNAS++: Distributed Architecture Search for Graph Neural Networks. 6973-6987 - Heyuan Wang, Tengjiao Wang, Shun Li, Shijie Guan:
HATR-I: Hierarchical Adaptive Temporal Relational Interaction for Stock Trend Prediction. 6988-7002 - David W. McDonald, Shan He:
Hyperbolic Embedding of Attributed and Directed Networks. 7003-7015 - Ping Jiang, Xiaoheng Deng, Leilei Wang, Zailiang Chen, Shichao Zhang:
Hypergraph Representation for Detecting 3D Objects From Noisy Point Clouds. 7016-7029 - Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao:
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. 7030-7044 - Feiping Nie, Zhanxuan Hu, Xiaoqian Wang, Xuelong Li, Heng Huang:
Iteratively Re-Weighted Method for Sparsity-Inducing Norms. 7045-7055 - Hao Liu, Yong Ge:
Job and Employee Embeddings: A Joint Deep Learning Approach. 7056-7067 - Tengfei Ma, Xuan Lin, Bosheng Song, Philip S. Yu, Xiangxiang Zeng:
KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction. 7068-7081 - Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Latent Representation Guided Multi-View Clustering. 7082-7087 - Chenwei Ran, Wei Shen, Jianbo Gao, Yuhan Li, Jianyong Wang, Yantao Jia:
Learning Entity Linking Features for Emerging Entities. 7088-7102 - Enyan Dai, Suhang Wang:
Learning Fair Graph Neural Networks With Limited and Private Sensitive Attribute Information. 7103-7117 - Longyuan Li, Junchi Yan, Yunhao Zhang, Jihai Zhang, Jie Bao, Yaohui Jin, Xiaokang Yang:
Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting. 7118-7137 - Daokun Zhang, Jie Yin, Philip S. Yu:
Link Prediction with Contextualized Self-Supervision. 7138-7151 - Tian Yang, Yanfang Deng, Bin Yu, Yuhua Qian, Jianhua Dai:
Local Feature Selection for Large-Scale Data Sets With Limited Labels. 7152-7163 - Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang:
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction. 7164-7177 - Yongchun Zhu, Qiang Sheng, Juan Cao, Qiong Nan, Kai Shu, Minghui Wu, Jindong Wang, Fuzhen Zhuang:
Memory-Guided Multi-View Multi-Domain Fake News Detection. 7178-7191 - Yundong Sun, Dongjie Zhu, Haiwen Du, Zhaoshuo Tian:
MHNF: Multi-Hop Heterogeneous Neighborhood Information Fusion Graph Representation Learning. 7192-7205 - Ren Ren, Jinliang Shao, Adrian N. Bishop, Wei Xing Zheng:
Modeling and Detecting Communities in Node Attributed Networks. 7206-7219 - Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. 7220-7238 - Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong:
Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning. 7239-7250 - Zhiqiang Zhong, Cheng-Te Li, Jun Pang:
Multi-Grained Semantics-Aware Graph Neural Networks. 7251-7262 - Huitong Chen, Yu Wang, Qinghua Hu:
Multi-Granularity Regularized Re-Balancing for Class Incremental Learning. 7263-7277 - Ziqiu Chi, Zhe Wang, Bolu Wang, Zhongli Fang, Zonghai Zhu, Dongdong Li, Wenli Du:
Multiple Kernel Subspace Learning for Clustering and Classification. 7278-7290 - Huan Zhang, Liangxiao Jiang, Wenjun Zhang, Chaoqun Li:
Multi-View Attribute Weighted Naive Bayes. 7291-7302 - Na Li, Jie Liu, Zhicheng He, Chunhai Zhang, Jiaying Xie:
Network Embedding With Dual Generation Tasks. 7303-7315 - Zhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou, Qiaobin Fu, Tong Yang, Alex X. Liu, Bin Cui:
On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters. 7316-7327 - Haoyang Li, Xin Wang, Ziwei Zhang, Wenwu Zhu:
OOD-GNN: Out-of-Distribution Generalized Graph Neural Network. 7328-7340 - Songlei Wang, Yifeng Zheng, Xiaohua Jia, Xun Yi:
Privacy-Preserving Analytics on Decentralized Social Graphs: The Case of Eigendecomposition. 7341-7356 - Xintao Wang, Jiaqing Liang, Yanghua Xiao, Wei Wang:
Prototypical Concept Representation. 7357-7370 - Jingjing Xue, Feiping Nie, Rong Wang, Xuelong Li:
Rank-$r$r Discrete Matrix Factorization for Anchor Graph Clustering. 7371-7381 - Shichao Zhang, Jiaye Li, Yangding Li:
Reachable Distance Function for KNN Classification. 7382-7396 - Lei Guo, Jinyu Zhang, Tong Chen, Xinhua Wang, Hongzhi Yin:
Reinforcement Learning-Enhanced Shared-Account Cross-Domain Sequential Recommendation. 7397-7411 - Fang He, Tao-Yang Fu, Wang-Chien Lee:
Rel-CNN: Learning Relationship Features in Time Series for Classification. 7412-7426 - Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang:
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. 7427-7439 - Wenling Li, Ning Li, Jianen Yan, Zhaoxin Zhang, Ping Yu, Gang Long:
Secure and High-Quality Watermarking Algorithms for Relational Database Based on Semantic. 7440-7456 - Kewei Tang, Kaiqiang Xu, Wei Jiang, Zhixun Su, Xiyan Sun, Xiaonan Luo:
Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering. 7457-7469 - Jie Xu, Yazhou Ren, Huayi Tang, Zhimeng Yang, Lili Pan, Yang Yang, Xiaorong Pu, Philip S. Yu, Lifang He:
Self-Supervised Discriminative Feature Learning for Deep Multi-View Clustering. 7470-7482 - Xiaoli Sun, Rui Zhu, Ming Yang, Xiujun Zhang, Yuanyan Tang:
Sliced Sparse Gradient Induced Multi-View Subspace Clustering via Tensorial Arctangent Rank Minimization. 7483-7496 - Sander J. J. Leemans, James M. McGree, Artem Polyvyanyy, Arthur H. M. ter Hofstede:
Statistical Tests and Association Measures for Business Processes. 7497-7511 - Hongjun Wang, Jiyuan Chen, Zipei Fan, Zhiwen Zhang, Zekun Cai, Xuan Song:
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction. 7512-7525 - Junjie Ou, Jiahui Sun, Yichen Zhu, Haiming Jin, Yijuan Liu, Fan Zhang, Jianqiang Huang, Xinbing Wang:
STP-TrellisNets+: Spatial-Temporal Parallel TrellisNets for Multi-Step Metro Station Passenger Flow Prediction. 7526-7540 - Zan Gao, Chao Sun, Zhiyong Cheng, Weili Guan, Anan Liu, Meng Wang:
TBNet: A Two-Stream Boundary-Aware Network for Generic Image Manipulation Localization. 7541-7556 - Yuyang Xu, Haochao Ying, Siyi Qian, Fuzhen Zhuang, Xiao Zhang, Deqing Wang, Jian Wu, Hui Xiong:
Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction. 7557-7568 - Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo:
What is Event Knowledge Graph: A Survey. 7569-7589 - Zhongbao Zhang, Fuxin Ren, Jiawei Zhang, Sen Su, Yang Yan, Qian Wei, Li Sun, Guozhen Zhu, Congying Guo:
When Behavior Analysis Meets Social Network Alignment. 7590-7607
Volume 35, Number 8, August 2023
- Fuyuan Xiao, Zehong Cao, Chin-Teng Lin:
A Complex Weighted Discounting Multisource Information Fusion With its Application in Pattern Classification. 7609-7623 - Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou:
A Learned Index for Exact Similarity Search in Metric Spaces. 7624-7638 - Zhaolong Ling, Ying Li, Yiwen Zhang, Kui Yu, Peng Zhou, Bo Li, Xindong Wu:
A Light Causal Feature Selection Approach to High-Dimensional Data. 7639-7650 - Heng Zhang, Shaoyuan Huang, Xin Wang, Jianxin Li, Xiaofei Wang, Victor C. M. Leung:
A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks. 7651-7664 - Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. 7665-7680 - Wei Huang, Yongqing Wang, Liehuang Zhu:
A Time Impulse Neural Network Framework for Solving the Minimum Path Pair Problems of the Time-Varying Network. 7681-7692 - Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li:
Adversarial Attack and Defense on Graph Data: A Survey. 7693-7711 - Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama:
Aligning Spatially Constrained Graphs. 7712-7723 - Shuyin Xia, Xinyu Bai, Guoyin Wang, Yunlong Cheng, Deyu Meng, Xinbo Gao, Yujia Zhai, Elisabeth Giem:
An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation. 7724-7735 - Gang Wu, Keke Peng:
An Inverse-Free Block-SOR Method With Randomly Sampling for Temporal Multiplex PageRank Problems. 7736-7752 - Shaowei Wang, Xuandi Luo, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang:
Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness. 7753-7767 - Yidan Hu, Yong Liu, Chunyan Miao, Gongqi Lin, Yuan Miao:
Aspect-Guided Syntax Graph Learning for Explainable Recommendation. 7768-7781 - Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, J. Senthilnath, Chi Xu, Chee Keong Kwoh:
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. 7782-7795 - Tanusree Parbat, Ayantika Chatterjee:
Authorized Update in Multi-User Homomorphic Encrypted Cloud Database. 7796-7808 - Temirlan Kalimzhanov, Amir Haji Ali Khamseh'i, Aresh Dadlani, Muthukrishnan Senthil Kumar, Ahmad Khonsari:
Co-Evolution of Viral Processes and Structural Stability in Signed Social Networks. 7809-7814 - Huaijie Zhu, Wei Liu, Jian Yin, Libin Zheng, Xin Huang, Jianliang Xu, Wang-Chien Lee:
Continuous Geo-Social Group Monitoring in Dynamic LBSNs. 7815-7828 - Renchu Guan, Haoyu Pang, Fausto Giunchiglia, Yanchun Liang, Xiaoyue Feng:
Cross-Domain Meta-Learner for Cold-Start Recommendation. 7829-7843 - Ghodai Abdelrahman, Qing Wang:
Deep Graph Memory Networks for Forgetting-Robust Knowledge Tracing. 7844-7855 - Haoyang Li, Ziwei Zhang, Xin Wang, Wenwu Zhu:
Disentangled Graph Contrastive Learning With Independence Promotion. 7856-7869 - Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng:
Disentangled Graph Neural Networks for Session-Based Recommendation. 7870-7882 - Yingrong Qin, Chen Gao, Yue Wang, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang:
Disentangling Geographical Effect for Point-of-Interest Recommendation. 7883-7897 - Kaixuan Chen, Jie Song, Shunyu Liu, Na Yu, Zunlei Feng, Gengshi Han, Mingli Song:
Distribution Knowledge Embedding for Graph Pooling. 7898-7908 - Danyang Wu, Feiping Nie, Jitao Lu, Rong Wang, Xuelong Li:
Effective Clustering via Structured Graph Learning. 7909-7920 - Jianhua Wang, Jianye Yang, Chengyuan Zhang, Xuemin Lin:
Efficient Maximum Edge-Weighted Biclique Search on Large Bipartite Graphs. 7921-7934 - Yangjun Chen, Yibin Chen, Yifeng Zhang:
Evaluation of Reachability Queries Based on Recursive DAG Decomposition. 7935-7952 - Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, Jieke Li:
Exploring Privileged Features for Relation Extraction With Contrastive Student-Teacher Learning. 7953-7965 - Xiaofeng Jiang, Xiaodong Wang, Jian Yang, Shuangwu Chen, Xi Qin:
Faster TKD: Towards Lightweight Decomposition for Large-Scale Tensors With Randomized Block Sampling. 7966-7979 - Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl Yang:
Finding High-Quality Item Attributes for Recommendation. 7980-7993 - Yiwei Zhao, Zi Chen, Chen Chen, Xiaoyang Wang, Xuemin Lin, Wenjie Zhang:
Finding the Maximum $k$-Balanced Biclique on Weighted Bipartite Graphs. 7994-8007 - Hao Qu, Yongshun Gong, Meng Chen, Junbo Zhang, Yu Zheng, Yilong Yin:
Forecasting Fine-Grained Urban Flows Via Spatio-Temporal Contrastive Self-Supervision. 8008-8023 - Yu Zhu, Ananthram Swami, Santiago Segarra:
Free Energy Node Embedding via Generalized Skip-Gram With Negative Sampling. 8024-8036 - Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang:
GCCAD: Graph Contrastive Coding for Anomaly Detection. 8037-8051 - Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu:
Generalizing to Unseen Domains: A Survey on Domain Generalization. 8052-8072 - Buliao Huang, Yunhui Zhu, Muhammad Usman, Xiren Zhou, Huanhuan Chen:
Graph Neural Networks for Missing Value Classification in a Task-Driven Metric Space. 8073-8084 - Pei-Pei Li, Haixiang Zhang, Xuegang Hu, Xindong Wu:
High-Dimensional Multi-Label Data Stream Classification With Concept Drifting Detection. 8085-8099 - Akansha Bhardwaj, Jie Yang, Philippe Cudré-Mauroux:
Human-in-the-Loop Rule Discovery for Micropost Event Detection. 8100-8111 - Lingling Zhang, Zhiwei Zhang, Guoren Wang, Ye Yuan, Shuai Zhao, Jianliang Xu:
HyperISO: Efficiently Searching Subgraph Containment in Hypergraphs. 8112-8125 - Guosheng Cui, Ruxin Wang, Dan Wu, Ye Li:
Incomplete Multiview Clustering Using Normalizing Alignment Strategy With Graph Regularization. 8126-8142 - Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. 8143-8156 - Yi Zhang, Yu Zhang, Wei Wang:
Learning Linear and Nonlinear Low-Rank Structure in Multi-Task Learning. 8157-8170 - Nils Barlaug:
LEMON: Explainable Entity Matching. 8171-8184 - Dinusha Vatsalan, Raghav Bhaskar, Mohamed Ali Kâafar:
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures. 8185-8198 - Hui Xu, Changyu Li, Yan Zhang, Lixin Duan, Ivor W. Tsang, Jie Shao:
MetaCAR: Cross-Domain Meta-Augmentation for Content-Aware Recommendation. 8199-8212 - Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang:
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing. 8213-8227 - Enyuan Zhou, Zicong Hong, Yang Xiao, Dongxiao Zhao, Qingqi Pei, Song Guo, Rajendra Akerkar:
MSTDB: A Hybrid Storage-Empowered Scalable Semantic Blockchain Database. 8228-8244 - Zhizhuo Yin, Kai Han, Pengzi Wang, Haibing Hu:
Multi Global Information Assisted Streaming Session-Based Recommendation System. 8245-8256 - Dan Dai, Zhiwen Yu, Weijie Huang, Yang Hu, C. L. Philip Chen:
Multi-Objective Cluster Ensemble based on Filter Refinement Scheme. 8257-8269 - Kefei Yan, Wei Fang, Hengyang Lu, Xin Zhang, Jun Sun, Xiaojun Wu:
Mutual Information-Guided GA for Bayesian Network Structure Learning. 8282-8299 - Alisa Smirnova, Jie Yang, Dingqi Yang, Philippe Cudré-Mauroux:
Nessy: A Neuro-Symbolic System for Label Noise Reduction. 8300-8311 - Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su:
NeuralCD: A General Framework for Cognitive Diagnosis. 8312-8327 - Luca Frittoli, Diego Carrera, Giacomo Boracchi:
Nonparametric and Online Change Detection in Multivariate Datastreams Using QuantTree. 8328-8342 - Yongrui Chen, Huiying Li, Guilin Qi, Tianxing Wu, Tenggou Wang:
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions Over Knowledge Graphs. 8343-8357 - Shuai Zhao, Michael K. Chen, Cristian Borcea, Yi Chen:
Personalized Dynamic Counter Ad-Blocking Using Deep Learning. 8358-8371 - Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke:
$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks. 8372-8385 - Yan Zhao, Kai Zheng, Yunchuan Li, Jinfu Xia, Bin Yang, Torben Bach Pedersen, Rui Mao, Christian S. Jensen, Xiaofang Zhou:
Profit Optimization in Spatial Crowdsourcing: Effectiveness and Efficiency. 8386-8401 - He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan:
Projective Ranking-Based GNN Evasion Attacks. 8402-8416 - Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang:
Random Walk on Multiple Networks. 8417-8430 - Tuan-Phong Nguyen, Simon Razniewski, Julien Romero, Gerhard Weikum:
Refined Commonsense Knowledge From Large-Scale Web Contents. 8431-8447