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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 37
Volume 37, Number 1, January 2025
- Li Yuan
, Yi Cai, Jingyun Xu, Qing Li, Tao Wang:
A Fine-Grained Network for Joint Multimodal Entity-Relation Extraction. 1-14 - Yanni Li, Bing Liu, Tihua Duan, Zhi Wang, Hui Li, Jiangtao Cui:
A Novel Key Point Based MLCS Algorithm for Big Sequences Mining. 15-28 - Yubo Peng, Xiong Li, Ke Gu, Jinjun Chen, Sajal K. Das, Xiaosong Zhang:
Achieving Efficient and Privacy-Preserving Reverse Skyline Query Over Single Cloud. 29-44 - Jintang Bian, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie:
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering. 45-59 - Haoran Qian, Weiguo Zheng, Zhijie Zhang, Bo Fu:
Answering Min-Max Resource-Constrained Shortest Path Queries Over Large Graphs. 60-74 - Aditi Gupta, Adeiza James Onumanyi, Satyadev Ahlawat, Yamuna Prasad, Virendra Singh:
B-CAVE: A Robust Online Time Series Change Point Detection Algorithm Based on the Between-Class Average and Variance Evaluation Approach. 75-88 - Zhaoheng Huang, Yutao Zhu, Zhicheng Dou, Ji-Rong Wen:
CAGS: Context-Aware Document Ranking With Contrastive Graph Sampling. 89-101 - Lingbai Kong, Wengen Li, Hanchen Yang, Yichao Zhang, Jihong Guan, Shuigeng Zhou:
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery. 102-115 - Yao Zhang, Yun Xiong, Yiheng Sun, Yucheng Jin, Caihua Shan, Tian Lu, Hui Song, Shengli Sun:
CauseRuDi: Explaining Behavior Sequence Models by Causal Statistics Generation and Rule Distillation. 116-129 - Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang:
Characterizing Submanifold Region for Out-of-Distribution Detection. 130-147 - Xia Ji, Jiawei Sun, Jianhua Peng, Yue Pang, Peng Zhou:
Clustering Ensemble Based on Fuzzy Matrix Self-Enhancement. 148-161 - Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang:
Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation. 162-173 - Ruidong Wang, Liang Xi, Fengbin Zhang, Haoyi Fan, Xu Yu, Lei Liu, Shui Yu, Victor C. M. Leung:
Context Correlation Discrepancy Analysis for Graph Anomaly Detection. 174-187 - Xuejiao Yu, Yi Jiang, Guoqing Chao, Dianhui Chu:
Deep Contrastive Multi-View Subspace Clustering With Representation and Cluster Interactive Learning. 188-199 - Zhong Yuan, Peng Hu, Hongmei Chen, Yingke Chen, Qilin Li:
DFNO: Detecting Fuzzy Neighborhood Outliers. 200-209 - Yifan Zhu, Chengyang Luo, Tang Qian, Lu Chen, Yunjun Gao, Baihua Zheng:
DIMS: Distributed Index for Similarity Search in Metric Spaces. 210-225 - Jianting Chen, Ling Ding, Yunxiao Yang, Zaiyuan Di, Yang Xiang:
Domain Adversarial Active Learning for Domain Generalization Classification. 226-238 - Wei Huang, Yunxiao Zhang, Shangmin Guo, Yu-Ming Shang, Xiangling Fu:
DynImpt: A Dynamic Data Selection Method for Improving Model Training Efficiency. 239-252 - Yuxin Wang, Xiannian Hu, Quan Gan, Xuanjing Huang, Xipeng Qiu, David Wipf:
Efficient Link Prediction via GNN Layers Induced by Negative Sampling. 253-264 - Wen-Ji Zhou, Yuhang Zheng, Yinfu Feng, Yunan Ye, Rong Xiao, Long Chen, Xiaosong Yang, Jun Xiao:
ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling. 265-277 - Yang Cao, Shuo Shang, Jun Wang, Wei Zhang:
Explainable Session-Based Recommendation via Path Reasoning. 278-290 - Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. 291-305 - Tengwei Song, Long Yin, Yang Liu, Long Liao, Jie Luo, Zhiqiang Xu:
Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models. 306-318 - Hao Yu, Ke Liang, Dayu Hu, Wenxuan Tu, Chuan Ma, Sihang Zhou, Xinwang Liu:
GZOO: Black-Box Node Injection Attack on Graph Neural Networks via Zeroth-Order Optimization. 319-333 - Thanh Tam Nguyen, Thanh Toan Nguyen, Matthias Weidlich, Jun Jo, Quoc Viet Hung Nguyen, Hongzhi Yin, Alan Wee-Chung Liew:
Handling Low Homophily in Recommender Systems With Partitioned Graph Transformer. 334-350 - Yi Yang, John P. Lalor, Ahmed Abbasi, Daniel Dajun Zeng:
Hierarchical Deep Document Model. 351-364 - Dengsheng Wu, Huidong Wu, Jianping Li:
Hierarchy-Aware Adaptive Graph Neural Network. 365-378 - Wentao Wu:
Hybrid Cost Modeling for Reducing Query Performance Regression in Index Tuning. 379-391 - Xun Song, Jiaqi Zheng, Hao Qian, Shiju Zhao, Hongxuan Zhang, Xuntao Pan, Guihai Chen:
In Search of a Memory-Efficient Framework for Online Cardinality Estimation. 392-407 - Peng Fang, Zhenli Li, Arijit Khan, Siqiang Luo, Fang Wang, Zhan Shi, Dan Feng:
Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding. 408-422 - Zhidan Liu, Yingqian Zhou, Xiaosi Liu, Haodi Zhang, Yabo Dong, Dongming Lu, Kaishun Wu:
Learning Road Network Index Structure for Efficient Map Matching. 423-437 - Dezheng Wang, Rongjie Liu, Congyan Chen, Shihua Li:
MPM: Multi Patterns Memory Model for Short-Term Time Series Forecasting. 438-448 - Yilun Liu, Ruihong Qiu, Yanran Tang, Hongzhi Yin, Zi Huang:
PUMA: Efficient Continual Graph Learning for Node Classification With Graph Condensation. 449-461 - Puning Zhang, Miao Fu, Rongjian Zhao, Hongbin Zhang, Changchun Luo:
PURE: Personality-Coupled Multi-Task Learning Framework for Aspect-Based Multimodal Sentiment Analysis. 462-477 - Guangjie Zeng, Hao Peng, Angsheng Li, Jia Wu, Chunyang Liu, Philip S. Yu:
Scalable Semi-Supervised Clustering via Structural Entropy With Different Constraints. 478-492 - Wei Guan, Jian Cao, Haiyan Zhao, Yang Gu, Shiyou Qian:
Survey and Benchmark of Anomaly Detection in Business Processes. 493-512 - Athanasios Koukosias, Christos Anagnostopoulos, Kostas Kolomvatsos:
Task-Aware Data Selectivity in Pervasive Edge Computing Environments. 513-525 - Fobo Shi, Duantengchuan Li, Xiaoguang Wang, Bing Li, Xindong Wu:
TGformer: A Graph Transformer Framework for Knowledge Graph Embedding. 526-541 - Junyi Guan, Sheng Li, Xiongxiong He, Jiajia Chen, Yangyang Zhao, Yuxuan Zhang:
Y-Graph: A Max-Ascent-Angle Graph for Detecting Clusters. 542-556
Volume 37, Number 2, February 2025
- Yinzhao Yan, Raymond Chi-Wing Wong, Christian S. Jensen:
An Efficiently Updatable Path Oracle for Terrain Surfaces. 557-571 - Jiayun Zhang, Xinyang Zhang, Dezhi Hong, Rajesh K. Gupta, Jingbo Shang:
Contextual Inference From Sparse Shopping Transactions Based on Motif Patterns. 572-583 - Jiawei Jiang, Hao Huang, Zhigao Zheng, Yi Wei, Fangcheng Fu, Xiaosen Li, Bin Cui:
Detecting and Analyzing Motifs in Large-Scale Online Transaction Networks. 584-596 - Zhihui Wang, Jianrui Chen, Zhongshi Shao, Zhen Wang:
Dual-View Desynchronization Hypergraph Learning for Dynamic Hyperedge Prediction. 597-612 - Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li:
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. 613-625 - Tongfeng Weng, Yumeng Liu, Mo Sha, Xinyuan Chen, Xu Zhou, Kenli Li, Kian-Lee Tan:
Efficient Projection-Based Algorithms for Tip Decomposition on Dynamic Bipartite Graphs. 626-640 - Guoli Wu, Zhiyong Feng, Shizhan Chen, Hongyue Wu, Xiao Xue, Jianmao Xiao, Guodong Fan, Hongqi Chen, Jingyu Li:
FairSort: Learning to Fair Rank for Personalized Recommendations in Two-Sided Platforms. 641-654 - Qiqi Zhang, Lingyang Chu, Zijin Zhao, Jian Pei:
Finding Antagonistic Communities in Signed Uncertain Graphs. 655-669 - Tian Yang, Fansong Yan, Fengcai Qiao, Jieting Wang, Yuhua Qian:
Fusing Monotonic Decision Tree Based on Related Family. 670-684 - Fuyuan Cao, Xuechun Jing, Kui Yu, Jiye Liang:
FWCEC: An Enhanced Feature Weighting Method via Causal Effect for Clustering. 685-697 - Jianjun Li, Yuhui Deng, Jiande Huang, Yi Zhou, Qifen Yang, Geyong Min:
Gecko: Efficient Sliding Window Aggregation With Granular-Based Bulk Eviction Over Big Data Streams. 698-709 - Hao Chen, Yuanchen Bei, Wenbing Huang, Shengyuan Chen, Feiran Huang, Xiao Huang:
Graph Cross-Correlated Network for Recommendation. 710-723 - Runze Yang, Hao Peng, Angsheng Li, Peng Li, Chunyang Liu, Philip S. Yu:
Hierarchical Abstracting Graph Kernel. 724-738 - Zheng Hu, Satoshi Nakagawa, Yan Zhuang, Jiawen Deng, Shimin Cai, Tao Zhou, Fuji Ren:
Hierarchical Denoising for Robust Social Recommendation. 739-753 - Yuanbo Xu, Fuzhen Zhuang, En Wang, Chaozhuo Li, Jie Wu:
Learning Without Missing-At-Random Prior Propensity-A Generative Approach for Recommender Systems. 754-765 - Meng Wang, Mengfei Zhao, Hui Li, Jiangtao Cui, Bo Yang, Tao Xue:
MC$^{2}$2LS: Towards Efficient Collective Location Selection in Competition. 766-780 - Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie, Philip S. Yu:
Meta Recommendation With Robustness Improvement. 781-793 - Xiao Li, Huan Li, Hua Lu, Christian S. Jensen:
Modeling and Monitoring of Indoor Populations Using Sparse Positioning Data. 794-809 - Zengmao Wang, Yunzhen Feng, Xin Zhang, Renjie Yang, Bo Du:
Multi-Modal Correction Network for Recommendation. 810-822 - Ziyu Zhao, Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Zhihua Wang, Fei Wu:
Networked Instrumental Variable for Treatment Effect Estimation With Unobserved Confounders. 823-836 - Qianli Zhou, Witold Pedrycz, Yong Deng:
Order-2 Probabilistic Information Fusion on Random Permutation Set. 837-850 - Jiawei Xue, Takahiro Yabe, Kota Tsubouchi, Jianzhu Ma, Satish V. Ukkusuri:
Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks. 851-864 - Qiang Gao, Zhengxiang Liu, Li Huang, Kunpeng Zhang, Jun Wang, Guisong Liu:
Relational Stock Selection via Probabilistic State Space Learning. 865-880 - Xiaoxiao Ma, Fanzhen Liu, Jia Wu, Jian Yang, Shan Xue, Quan Z. Sheng:
Rethinking Unsupervised Graph Anomaly Detection With Deep Learning: Residuals and Objectives. 881-895 - Haipeng Ding, Zhewei Wei, Yuhang Ye:
Scalable and Effective Graph Neural Networks via Trainable Random Walk Sampling. 896-909 - Zexu Sun, Bowei He, Shiqi Shen, Zhipeng Wang, Zhi Gong, Chen Ma, Qi Qi, Xu Chen:
Sequential Causal Effect Estimation by Jointly Modeling the Unmeasured Confounders and Instrumental Variables. 910-922 - Jie Li, Ke Deng, Jianxin Li, Yongli Ren:
Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks. 923-935 - Shuliang Wang, Qianyu Yang, Sijie Ruan, Cheng Long, Ye Yuan, Qi Li, Ziqiang Yuan, Jie Bao, Yu Zheng:
Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction. 936-950 - Jianke Yu, Hanchen Wang, Xiaoyang Wang, Zhao Li, Lu Qin, Wenjie Zhang, Jian Liao, Ying Zhang, Bailin Yang:
Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms. 951-965 - Wei Wu, Shiqi Li, Mi Jiang, Chuan Luo, Fangfang Li:
Time- and Space-Efficiently Sketching Billion-Scale Attributed Networks. 966-978 - Feiping Nie, Runxin Zhang, Yu Duan, Rong Wang:
Unconstrained Fuzzy C-Means Based on Entropy Regularization: An Equivalent Model. 979-990 - Shuo Shang, Zhitao Yao, Hao Fu, Chongyang Tao, Xiuying Chen, Feng Wang, Yongbo Wang, Zhaochun Ren, Shen Gao:
Unified Multi-Scenario Summarization Evaluation and Explanation. 991-1003 - Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu:
Vertical Federated Density Peaks Clustering Under Nonlinear Mapping. 1004-1017
Volume 37, Number 3, March 2025
- Yuxuan Zhou, Shang Gao, Dandan Guo, Xiaohui Wei, Jon G. Rokne, Hui Wang:
A Survey of Change Point Detection in Dynamic Graphs. 1030-1048 - Qian Zhou, Wei Chen, Li Zhang, An Liu, Junhua Fang, Lei Zhao:
ADMH-ER: Adaptive Denoising Multi-Modal Hybrid for Entity Resolution. 1049-1063 - Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock:
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. 1064-1078 - Canyu Zhang, Feiping Nie, Rong Wang:
Anchor Guided Unsupervised Domain Adaptation. 1079-1090 - Longquan Liao, Linjiang Zheng, Jiaxing Shang, Xu Li, Fengwen Chen:
ATPF: An Adaptive Temporal Perturbation Framework for Adversarial Attacks on Temporal Knowledge Graph. 1091-1104 - Hongchao Qin, Gao Sen, Rong-Hua Li, Hongzhi Chen, Ye Yuan, Guoren Wang:
Colorful Star Motif Counting: Concepts, Algorithms and Applications. 1105-1125 - Yunfei Yin, Yiming Pan, Xianjian Bao, Faliang Huang:
Conversational Recommendations With User Entity Focus and Multi-Granularity Latent Variable Enhancement. 1126-1139 - Zhe Zhao, Pengkun Wang, Xu Wang, Haibin Wen, Xiaolong Xie, Zhengyang Zhou, Qingfu Zhang, Yang Wang:
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks. 1140-1153 - Ling Cheng, Feida Zhu, Qian Shao, Jiashu Pu, Fengzhu Zeng:
Early Detection of Malicious Crypto Addresses With Asset Path Tracing and Selection. 1154-1166 - Xu Cheng, Fan Shi, Yao Zhang, Huan Li, Xiufeng Liu, Shengyong Chen:
FRAME: Feature Rectification for Class Imbalance Learning. 1167-1181 - Can Gao, Xiaofeng Tan, Jie Zhou, Weiping Ding, Witold Pedrycz:
Fuzzy Granule Density-Based Outlier Detection With Multi-Scale Granular Balls. 1182-1197 - Kai Wang, Dan Lin, Siqiang Luo:
Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning. 1198-1212 - Xueqi Cheng, Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Keping Bi:
GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. 1213-1226 - Waqar Ali, Khalid Umer, Xiangmin Zhou, Jie Shao:
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders. 1227-1240 - Shenghong He, Chao Yu, Qian Lin, Shangqin Mao, Bo Tang, Qianlong Xie, Xingxing Wang:
Hierarchical Multi-Agent Meta-Reinforcement Learning for Cross-Channel Bidding. 1241-1254 - Zhida Qin, Wentao Cheng, Wenxing Ding, Gangyi Ding:
Hyperbolic Graph Contrastive Learning for Collaborative Filtering. 1255-1267 - Zhaolong Ling, Jingxuan Wu, Yiwen Zhang, Peng Zhou, Xingyu Wu, Kui Yu, Xindong Wu:
Label-Aware Causal Feature Selection. 1268-1281 - Youwen Zhu, Yuanyuan Hong, Qiao Xue, Xiao Lan, Yushu Zhang, Yong Xiang:
LDGI: Location-Discriminative Geo-Indistinguishability for Location Privacy. 1282-1293 - Jian Chen, Hong Gao, Yuhong Shi, Junle Chen, Donghua Yang, Jianzhong Li:
Maximizing Influence Query Over Indoor Trajectories. 1294-1310 - Wenfei Wu, Yuchen Xu:
MimoSketch: A Framework for Frequency-Based Mining Tasks on Multiple Nodes With Sketches. 1311-1324 - Liangmin Guo, Shiming Zhou, Haiyue Tang, Xiaoyao Zheng, Yonglong Luo:
Multi-Behavior Hypergraph Contrastive Learning for Session-Based Recommendation. 1325-1338 - Ya-Wen Teng, Yishuo Shi, De-Nian Yang, Chih-Hua Tai, Philip S. Yu, Ming-Syan Chen:
Multi-Grade Revenue Maximization for Promotional and Competitive Viral Marketing in Social Networks. 1339-1353 - Jie Liu, Chunhai Zhang, Zhicheng He, Wenzheng Zhang, Na Li:
Network-to-Network: Self-Supervised Network Representation Learning via Position Prediction. 1354-1365 - Xuan Rao, Renhe Jiang, Shuo Shang, Lisi Chen, Peng Han, Bin Yao, Panos Kalnis:
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning. 1366-1379 - Chao Fu, Guannan Liu, Kun Yuan, Junjie Wu:
Nowhere to H2IDE: Fraud Detection From Multi-Relation Graphs via Disentangled Homophily and Heterophily Identification. 1380-1393 - Sanfeng Zhang, Luyao Huang, Zheng Zhang, Wenduan Xu, Wang Yang, Linfeng Liu:
RMD-Graph: Adversarial Attacks Resisting Malicious Domain Detection Based on Dual Denoising. 1394-1410 - Zhanbo Feng, Yuanjie Wang, Jie Li, Fan Yang, Jiong Lou, Tiebin Mi, Robert Caiming Qiu, Zhenyu Liao:
Robust and Communication-Efficient Federated Domain Adaptation via Random Features. 1411-1424 - Weichao Yan, Hao Ma, Zaiyue Yang:
Segmented Sequence Prediction Using Variable-Order Markov Model Ensemble. 1425-1438 - Hanxuan Wang, Na Lu, Zixuan Wang, Yuxuan Yan, Gustavo Carneiro, Zhen Wang:
Self-Correcting Clustering. 1439-1454 - Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu:
The Expressive Power of Graph Neural Networks: A Survey. 1455-1474 - Yan Lin, Zeyu Zhou, Yichen Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan:
UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings. 1475-1494 - Zhenyu Guo, Qinghua Shang, Xin Li, Chengyi Li, Zijian Zhang, Zhuo Zhang, Jingjing Hu, Jincheng An, Chuanming Huang, Yang Chen, Yuguang Cai:
Web-FTP: A Feature Transferring-Based Pre-Trained Model for Web Attack Detection. 1495-1507
Volume 37, Number 4, April 2025
- Yikai Zhao, Wei Zhou, Wenchen Han, Zheng Zhong, Yinda Zhang, Xiuqi Zheng, Tong Yang, Bin Cui:
Achieving Top-$K$K-fairness for Finding Global Top-$K$K Frequent Items. 1508-1526 - Jiahang Tu, Xijia Tang, Shilin Gu, Yucong Dai, Ruidong Fan, Chenping Hou:
Adaptive Learning in Imbalanced Data Streams With Unpredictable Feature Evolution. 1527-1541 - Wenhui Liu, Jiapeng Zhu, Lyu Ni, Jingyu Bi, Zhijian Wu, Jiajie Long, Mengyao Gao, Dingjiang Huang, Shuigeng Zhou:
Adversarial Conservative Alternating Q-Learning for Credit Card Debt Collection. 1542-1555 - Fuyuan Xiao, Weiping Ding, Witold Pedrycz:
A Generalized $f$f-Divergence With Applications in Pattern Classification. 1556-1570 - Zhiwen Zhang, Wei Yuan, Zipei Fan, Xuan Song, Ryosuke Shibasaki:
AISFuser: Encoding Maritime Graphical Representations With Temporal Attribute Modeling for Vessel Trajectory Prediction. 1571-1584 - Qingqing Yi, Jingjing Tang, Xiangyu Zhao, Yujian Zeng, Zengchun Song, Jia Wu:
An Adaptive Entire-Space Multi-Scenario Multi-Task Transfer Learning Model for Recommendations. 1585-1598 - Haitao Lin, Cheng Tan, Lirong Wu, Zicheng Liu, Zhangyang Gao, Stan Z. Li:
An Extensive Survey With Empirical Studies on Deep Temporal Point Process. 1599-1619 - Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria:
Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. 1620-1634 - Yuren Mao, Yu Hao, Xin Cao, Yunjun Gao, Chang Yao, Xuemin Lin:
Boosting GNN-Based Link Prediction via PU-AUC Optimization. 1635-1649 - Zihan Zhang, Xiao Ding, Xia Liang, Yusheng Zhou, Bing Qin, Ting Liu:
Brain and Cognitive Science Inspired Deep Learning: A Comprehensive Survey. 1650-1671 - James Jianqiao Yu, Xinwei Fang, Shiyao Zhang, Yuxin Ma:
CLEAR: Spatial-Temporal Traffic Data Representation Learning for Traffic Prediction. 1672-1687 - Linxiao Yu, Jun Tao, Yifan Xu, Haotian Wang:
CloudRGK: Towards Private Similarity Measurement Between Graphs on the Cloud. 1688-1701 - Hyeongjun Yang, Donghyun Kim, Gayeon Park, Kyuhwan Yeom, Kyong-Ho Lee:
CoreSense: Social Commonsense Knowledge-Aware Context Refinement for Conversational Recommender System. 1702-1713 - Xinjie Sun, Kai Zhang, Qi Liu, Shuanghong Shen, Fei Wang, Yuxiang Guo, Enhong Chen:
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing. 1714-1727 - Dongxiao He, Jiaqi Cui, Xiaobao Wang, Guojie Song, Yuxiao Huang, Lingfei Wu:
Dual Enhanced Meta-Learning With Adaptive Task Scheduler for Cold-Start Recommendation. 1728-1741 - Shubham Gupta, Abhishek Rajora, Suman Kundu:
EA$^{2}$2N: Evidence-Based AMR Attention Network for Fake News Detection. 1742-1752 - Van Long Ho, Nguyen Ho, Torben Bach Pedersen, Panagiotis Papapetrou:
Efficient Generalized Temporal Pattern Mining in Time Series Using Mutual Information. 1753-1771 - Yunyong Ko, Hanghang Tong, Sang-Wook Kim:
Enhancing Hyperedge Prediction With Context-Aware Self-Supervised Learning. 1772-1784 - Zhiyu Liang, Zheng Liang, Hongzhi Wang, Bo Zheng:
FedDict: Towards Practical Federated Dictionary-Based Time Series Classification. 1785-1803 - Pengfei Ding, Yan Wang, Guanfeng Liu, Nan Wang, Xiaofang Zhou:
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs. 1804-1818 - Xinyi Gao, Junliang Yu, Tong Chen, Guanhua Ye, Wentao Zhang, Hongzhi Yin:
Graph Condensation: A Survey. 1819-1837 - Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo:
Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data. 1838-1852 - Ling Li, Hilde Verbeek, Huiping Chen, Grigorios Loukides, Robert Gwadera, Leen Stougie, Solon P. Pissis:
Heavy Nodes in a Small Neighborhood: Exact and Peeling Algorithms With Applications. 1853-1870 - Minghe Yu, Yun Zhang, Jintong Sun, Min Huang, Tiancheng Zhang, Ge Yu:
HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs. 1871-1884 - Shuai Wang, Hai Wang, Li Lin, Xiaohui Zhao, Tian He, Dian Shen, Wei Xi:
HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer. 1885-1901 - Zhao Li, Xin Wang, Jun Zhao, Wenbin Guo, Jianxin Li:
HyCubE: Efficient Knowledge Hypergraph 3D Circular Convolutional Embedding. 1902-1914 - Lei Sang, Yu Wang, Yi Zhang, Yiwen Zhang, Xindong Wu:
Intent-Guided Heterogeneous Graph Contrastive Learning for Recommendation. 1915-1929 - Zihe Liu, Jie Lu, Junyu Xuan, Guangquan Zhang:
Learning Latent and Changing Dynamics in Real Non-Stationary Environments. 1930-1942 - Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Huanhuan Chen:
LLM-Driven Causal Discovery via Harmonized Prior. 1943-1960 - Siyi Lv, Yanyu Huang, Xinhao Li, Tong Li, Liang Guo, Xiaofeng Chen, Zheli Liu:
LUNA: Efficient Backward-Private Dynamic Symmetric Searchable Encryption Scheme With Secure Deletion in Encrypted Database. 1961-1974 - Zhiwei Zuo, Zhuo Tang, Kenli Li, Anwitaman Datta:
Machine Unlearning Through Fine-Grained Model Parameters Perturbation. 1975-1988 - Di Luo, Shuqi Li, Weiheng Liao, Rui Yan:
MagicNet: Memory-Aware Graph Interactive Causal Network for Multivariate Stock Price Movement Prediction. 1989-2000 - Zihan Wang, Yonghui Yang, Le Wu, Richang Hong, Meng Wang:
Making Non-Overlapping Matters: An Unsupervised Alignment Enhanced Cross-Domain Cold-Start Recommendation. 2001-2014 - Shanshan Feng, Guoxin Yu, Dawei Liu, Han Hu, Yong Luo, Hui Lin, Yew-Soon Ong:
MHR: A Multi-Modal Hyperbolic Representation Framework for Fake News Detection. 2015-2028 - Li Han, Longxun Wang, Ziyang Cheng, Bo Wang, Guang Yang, Dawei Cheng, Xuemin Lin:
Mitigating the Tail Effect in Fraud Detection by Community Enhanced Multi-Relation Graph Neural Networks. 2029-2041 - Jianhua Dai, Wenxiang Chen, Yuhua Qian:
Multi-Label Feature Selection With Missing Features via Implicit Label Replenishment and Positive Correlation Feature Recovery. 2042-2055 - Mengyi Liu, Xieyang Wang, Jianqiu Xu, Hua Lu, Yongxin Tong:
NALSpatial: A Natural Language Interface for Spatial Databases. 2056-2070 - Zhangchi Zhu, Wei Zhang:
Preference-Consistent Knowledge Distillation for Recommender System. 2071-2084 - Jingyi Gu, Wenlu Du, Guiling Wang:
RAGIC: Risk-Aware Generative Framework for Stock Interval Construction. 2085-2096 - Junjie Liu, Junlong Liu, Rongxin Jiang, Yaowu Chen, Chen Shen, Jieping Ye:
Self-Learning Symmetric Multi-View Probabilistic Clustering. 2097-2110 - Junjian Shi, Ye Han, Xiaojie Guo, Zekun Fei, Zheli Liu, Siyi Lv, Tong Li, Xiaotao Liu:
SMPCache: Towards More Efficient SQL Queries in Multi-Party Collaborative Data Analysis. 2111-2125 - Hao Miao, Yan Zhao, Chenjuan Guo, Bin Yang, Kai Zheng, Christian S. Jensen:
Spatio-Temporal Prediction on Streaming Data: A Unified Federated Continuous Learning Framework. 2126-2140 - Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan:
STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation. 2141-2154 - Zhimao Gong, Zhibang Yang, Shenghong Yang, Siyang Yu, Kenli Li, Mingxing Duan:
Towards Accurate Truth Discovery With Privacy-Preserving Over Crowdsourced Data Streams. 2155-2168
Volume 37, Number 5, May 2025
- Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems. 2169-2182 - Hao Sun, Jianping Li, Xiaoqian Zhu:
A Novel Expandable Borderline Smote Over-Sampling Method for Class Imbalance Problem. 2183-2199 - Wanjin Feng, Xingyu Gao, Peilin Zhao, Steven C. H. Hoi:
A Unified Framework for Bandit Online Multiclass Prediction. 2200-2211 - Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li:
A Universal Pre-Training and Prompting Framework for General Urban Spatio-Temporal Prediction. 2212-2225 - Xiao Zhang, Peng Bao:
Adaptive Reliable Defense Graph for Multi-Channel Robust GCN. 2226-2238 - Zemin Chao, Hong Gao, Dongjing Miao, Jianzhong Li, Hongzhi Wang:
An Amortized O(1) Lower Bound for Dynamic Time Warping in Motif Discovery. 2239-2252 - Mouxiang Chen, Han Fu, Chenghao Liu, Xiaoyun Joy Wang, Zhuo Li, Jianling Sun:
Build a Good Human-Free Prompt Tuning: Jointly Pre-Trained Template and Verbalizer for Few-Shot Classification. 2253-2265 - Sitao Min, Hafiz Salman Asif, Xinyue Wang, Jaideep Vaidya:
Cafe: Improved Federated Data Imputation by Leveraging Missing Data Heterogeneity. 2266-2281 - Jiyuan Feng, Xu Yang, Liwen Liang, Weihong Han, Binxing Fang, Qing Liao:
CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning. 2282-2295 - Yang Yang, Wei Shen, Junfeng Shu, Yinan Liu, Edward Curry, Guoliang Li:
CMVC+: A Multi-View Clustering Framework for Open Knowledge Base Canonicalization Via Contrastive Learning. 2296-2310 - Jiaxing Li, Wai Keung Wong, Lin Jiang, Kaihang Jiang, Xiaozhao Fang, Shengli Xie, Jie Wen:
Collaboratively Semantic Alignment and Metric Learning for Cross-Modal Hashing. 2311-2328 - Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He:
CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. 2329-2340 - Qihang Guo, Xibei Yang, Weiping Ding, Yuhua Qian:
Cross-Graph Interaction Networks. 2341-2355 - Ou Wu, Rujing Yao:
Data Optimization in Deep Learning: A Survey. 2356-2375 - Hanqing Chen, Shuai Ma, Junfeng Liu, Lizhen Cui:
Discovery of Temporal Network Motifs. 2376-2390 - Yuli Liu, Yuan Zhang:
Diversity-Promoting Recommendation With Dual-Objective Optimization and Dual Consideration. 2391-2404 - Shangfei Zheng, Hongzhi Yin, Tong Chen, Quoc Viet Hung Nguyen, Wei Chen, Lei Zhao:
Do as I Can, Not as I Get: Topology-Aware Multi-Hop Reasoning on Multi-Modal Knowledge Graphs. 2405-2419 - Nicolai A. Weinreich, Arman Oshnoei, Remus Teodorescu, Kim G. Larsen:
Doing More With Less: A Survey of Data Selection Methods for Mathematical Modeling. 2420-2439 - Shanshan Wang, Fangzheng Yuan, Keyang Wang, Xun Yang, Xingyi Zhang, Meng Wang:
Dual-State Personalized Knowledge Tracing With Emotional Incorporation. 2440-2455 - Tuanfei Zhu, Xingchen Hu, Xinwang Liu, En Zhu, Xinzhong Zhu, Huiying Xu:
Dynamic Ensemble Framework for Imbalanced Data Classification. 2456-2471 - Dejun Teng, Zhaochuan Li, Zhaohui Peng, Shuai Ma, Fusheng Wang:
Efficient and Accurate Spatial Queries Using Lossy Compressed 3D Geometry Data. 2472-2487 - Manish Pandit, Ranjana Sodhi:
Efficient PMU Data Compression Using Enhanced Graph Filtering Enabled Principal Component Analysis. 2488-2500 - Sheng Xiang, Guibin Zhang, Dawei Cheng, Ying Zhang:
Enhancing Attribute-Driven Fraud Detection With Risk-Aware Graph Representation. 2501-2512 - Laurence A. F. Park, Jesse Read:
Estimating Multi-Label Expected Accuracy Using Labelset Distributions. 2513-2524 - Jing Zhao, Xinzhu Zhang, Yujia Li, Shiliang Sun:
Few-Shot Knowledge Graph Completion With Star and Ring Topology Information Aggregation. 2525-2537 - Matej Mihelcic, Pauli Miettinen:
Finding Rule-Interpretable Non-Negative Data Representation. 2538-2549 - Kung-Hsiang Huang, Hou Pong Chan, May Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji:
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models. 2550-2568 - Wenya Hu, Jia Wu, Quan Qian:
GAFExplainer: Global View Explanation of Graph Neural Networks Through Attribute Augmentation and Fusion Embedding. 2569-2583 - Yuzheng Cai, Siyuan Liu, Weiguo Zheng, Xuemin Lin, Chengbo Zhang, Xuecang Zhang:
Generating $k$kk-Hop-Constrained $s$ss-$t$tt Path Graphs. 2584-2599 - Jingwei Chen, Zihan Wu, Jingqing Cheng, Xiaohua Xu, Feiping Nie:
Graph Clustering With Harmonic-Maxmin Cut Guidance. 2600-2613 - Ruichang Li, Xiangwu Meng, Yujie Zhang:
Group-Aware Dynamic Graph Representation Learning for Next POI Recommendation. 2614-2625 - Rujia Shen, Muhan Li, Chao Zhao, Boran Wang, Yi Guan, Jie Liu, Jingchi Jiang:
Hierarchical Causal Discovery From Large-Scale Observed Variables. 2626-2639 - Jian Wang, Jianrong Wang, Di Jin, Xinglong Chang:
Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation. 2640-2651 - Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu:
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training. 2652-2664 - Haojie Li, Junwei Du, Guanfeng Liu, Feng Jiang, Yan Wang, Xiaofang Zhou:
Intent Propagation Contrastive Collaborative Filtering. 2665-2679 - Paul Boniol, Donato Tiano, Angela Bonifati, Themis Palpanas:
-Graph: A Graph Embedding for Interpretable Time Series Clustering. 2680-2694 - Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Derui Lyu, Qinrui Zhu, Huanhuan Chen:
Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge. 2695-2711 - Akihiro Yamaguchi, Ken Ueno, Hisashi Kashima:
Learning Location-Guided Time-Series Shapelets. 2712-2726 - Haoran Tang, Shiqing Wu, Zhihong Cui, Yicong Li, Guandong Xu, Qing Li:
Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. 2727-2742 - Shaoyi Yin, Franck Morvan, Jorge Martínez Gil, Abdelkader Hameurlain:
MTD-DS: An SLA-Aware Decision Support Benchmark for Multi-Tenant Parallel DBMSs. 2743-2755 - LinYu Li, Zhi Jin, Xuan Zhang, Haoran Duan, Jishu Wang, Zhengwei Tao, Haiyan Zhao, Xiaofeng Zhu:
Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion. 2756-2770 - Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Zhu Wang, Xi Peng:
One-Step Adaptive Graph Learning for Incomplete Multiview Subspace Clustering. 2771-2783 - Mengxuan Zhang, Xinjie Zhou, Lei Li, Xiaofang Zhou:
Partitioned Dynamic Hub Labeling for Large Road Networks. 2784-2801 - Kai Zhang, Boli Hu, Jianting Ning, Junqing Gong, Haifeng Qian:
Pattern Hiding and Authorized Searchable Encryption for Data Sharing in Cloud Storage. 2802-2815 - Shankui Ji, Yang Du, He Huang, Yu-E Sun, Jia Liu, Yapeng Shu:
PipeFilter: Parallelizable and Space-Efficient Filter for Approximate Membership Query. 2816-2830 - Lei Guan, Dongsheng Li, Yongle Chen, Jiye Liang, Wenjian Wang, Xicheng Lu:
PipeOptim: Ensuring Effective 1F1B Schedule With Optimizer-Dependent Weight Prediction. 2831-2845 - Qiaoer Xu, Jianfeng Wang, Shifeng Sun, Zhipeng Liu, Xiaofeng Chen:
Practical Equi-Join Over Encrypted Database With Reduced Leakage. 2846-2860 - Shuting Wang, Zhicheng Dou, Kexiang Wang, Dehong Ma, Jun Fan, Daiting Shi, Zhicong Cheng, Simiu Gu, Dawei Yin, Ji-Rong Wen:
PRADA: Pre-Train Ranking Models With Diverse Relevance Signals Mined From Search Logs. 2861-2873 - Yijun Li, Cheuk Hang Leung, Qi Wu:
Probabilistic Learning of Multivariate Time Series With Temporal Irregularity. 2874-2887 - Yuqi Feng, Yanan Sun, Gary G. Yen, Kay Chen Tan:
REP: An Interpretable Robustness Enhanced Plugin for Differentiable Neural Architecture Search. 2888-2902 - Junwei Cheng, Yong Tang, Chaobo He, Pengxing Feng, Kunlin Han, Quanlong Guan:
Rethinking Variational Bayes in Community Detection From Graph Signal Perspective. 2903-2917 - Ben Yang, Xuetao Zhang, Jinghan Wu, Feiping Nie, Fei Wang, Badong Chen:
Scalable Min-Max Multi-View Spectral Clustering. 2918-2931 - Siwei Wang, Xinwang Liu, Qing Liao, Yi Wen, En Zhu, Kunlun He:
Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment. 2932-2945 - Justus Isaiah Hibshman, Adnan Hoq, Tim Weninger:
SCHENO: Measuring Schema vs. Noise in Graphs. 2946-2957 - Xingfei Wang, Ke Zhang, Muyuan Niu, Xiaofen Wang:
SemSI-GAT: Semantic Similarity-Based Interaction Graph Attention Network for Knowledge Graph Completion. 2958-2970 - Yuxiang Guo, Yuren Mao, Zhonghao Hu, Lu Chen, Yunjun Gao:
Snoopy: Effective and Efficient Semantic Join Discovery via Proxy Columns. 2971-2985 - Yang An, Zhibin Li, Xiaoyu Li, Wei Liu, Xinghao Yang, Haoliang Sun, Meng Chen, Yu Zheng, Yongshun Gong:
Spatio-Temporal Multivariate Probabilistic Modeling for Traffic Prediction. 2986-3000 - Suguru Yasutomi, Toshihisa Tanaka:
Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders With Mutual Information Constraints. 3001-3014 - Tianhao Peng, Haitao Yuan, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu:
TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation. 3015-3029 - Jianyang Qin, Yan Jia, Binxing Fang, Qing Liao:
TaylorS: A Multi-Order Expansion Structure for Urban Spatio-Temporal Forecasting. 3030-3046 - Lijie Hu, Xinhai Wang, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Towards Stable and Explainable Attention Mechanisms. 3047-3061 - Yuanning Cui, Zequn Sun, Wei Hu:
Transfer-and-Fusion: Integrated Link Prediction Across Knowledge Graphs. 3062-3074
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