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ORCIDIEEE Transactions on Knowledge and Data Engineering, Volume 38
Volume 38, Number 1, January 2026
- Yudong Gong
, Sanyang Liu, Yiguang Bai, Ziliang Wang:
1HIkDA: A Novel Privacy Preserving Framework for Graph Data Publication. 1-13 - Songci Xu, Qiangqiang Cheng, Chi-Guhn Lee:
A Causal Perspective of Stock Prediction Models. 14-25 - ZhengZhao Feng, Rui Wang, TianXing Wang, Mingli Song, Sai Wu, Shuibing He:
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges. 26-46 - Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou:
A Comprehensive Survey on Data Augmentation. 47-66 - Binhan Yang, Junqing Gong, Wei Shen, Yinan Liu, Guoliang Li:
Actively Learning Unified Embeddings for Joint Open Knowledge Base Canonicalization and Linking. 67-81 - Zhichao Chen, Yulong Zhang, Odin Zhang, Fangyikang Wang, Le Yao, Hao Wang, Zhihuan Song:
Blending Data and Knowledge for Process Industrial Modeling Under Riemannian Preconditioned Bayesian Framework. 82-95 - Yuhang Chen, Shixuan Sun, Jiaxin Jiang, Bingsheng He, Yuchen Li:
BLITZ: A Flexible and Efficient Graph Mining System. 96-109 - SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu:
BPL: Bias-Adaptive Preference Distillation Learning For Recommender System. 110-122 - Yongsen Zheng, Guohua Wang, Jinghui Qin, Ziliang Chen, Junfan Lin, Pengxu Wei, Liang Lin, Kwok-Yan Lam:
CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation. 123-137 - Fan Wang, Chaochao Chen, Weiming Liu, Lianyong Qi, Xuyun Zhang, Yanchao Tan, Mengying Zhu, Xiaolin Zheng:
Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation. 138-151 - Pengyi Zhang, Pengxuan Ma, Chaopeng Guo, Yu Gu, Jie Song:
Consensus and Computing Integration for Processing Transactional Graphs in Consortium Blockchain. 152-169 - Yanwanyu Xi, Chang Tang, Junjie Huang, Xingchen Hu, Yuanyuan Liu, Xinwang Liu:
Contrastive and Dual Adversarial Representation Learning for Multi-View Clustering. 170-182 - Wenchao Gao, Li Yang, Chuanrui Cui, Yu Li:
Cross-Lingual Named Entity Recognition Method Based on Multi-Channel and Multi-Teacher Models. 183-192 - Kai Yao, Xinchen Zhang, Lijun Chang:
Detecting Structural Balanced Near-Cliques in Large Signed Graphs. 193-206 - Shenghao Gong, Ziquan Fang, Liu Liu, Yaofeng Tu, Yunjun Gao:
Distributed Semantic Trajectory Similarity Search. 207-221 - Chao Lyu, Ziwen Ma, Xin Luo, Yuhui Shi:
Dynamic Stochastic Reorientation Particle Swarm Optimization for Adaptive Latent Factor Analysis in High-Dimensional Sparse Matrices. 222-234 - Changan Liu, Zixuan Xie, Ahad N. Zehmakan, Zhongzhi Zhang:
Efficient Algorithms for Computing Random Walk Centrality. 235-247 - Lin Wang, Qing Li:
Efficient Graph Condensation via Gaussian Process. 248-260 - Renjie Sun, Chen Chen, Xiaoyang Wang, Wenjie Zhang, Ying Zhang, Xuemin Lin:
Efficient Maximal Balanced CliPlex Enumeration in Signed Graphs. 261-275 - Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei:
EIGA: A Novel Genetic Algorithm Based on Edge Information for Community Detection in Weighted Social Networks. 276-289 - Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Daoqiang Zhang, Xiaoli Li, Zhenghua Chen:
Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation. 290-306 - Jiaao Yu, Lanlan Rui, Yijing Lin, Zhipeng Gao, Xuesong Qiu, Shao-Yong Guo:
Few-Shot Knowledge Graph Completion With Adaptive Negative Sampling Mechanism. 307-322 - Qinghai Zheng, Jihua Zhu, Yuanlong Yu, Haoyu Tang:
From One Comes Two: A Tensorized Graph Learning Framework for Clustering. 323-337 - Chang Liu, Zhong Yuan, Yuan Yuan, Hongmei Chen, Dezhong Peng, Xiaomin Song:
Fuzzy $k$kNN Entropy and its Anomaly Detection. 338-351 - Haixu Wen, Wei Shen, Guoliang Li:
GADE+: A Graph-Based Anchor-Enhanced Framework for Targeted Document Detection. 352-365 - Yijie Zhou, Shufeng Gong, Feng Yao, Hanzhang Chen, Song Yu, Pengxi Liu, Yanfeng Zhang, Ge Yu, Jeffrey Xu Yu:
GoGraph: Accelerating Graph Processing Through Incremental Reordering. 366-379 - Yunfan Kang, Yiyang Bian, Qinma Kang, Amr Magdy:
IMS: Incremental Max-P Regionalization With Statistical Constraints. 380-398 - Rongwei Xu, Guanfeng Liu, Yan Wang, Xuyun Zhang, Kai Zheng, Xiaofang Zhou:
Intent-Based Trust Evaluation. 399-413 - Mengyuan Jing, Yanmin Zhu, Zhaobo Wang, Jiadi Yu, Feilong Tang:
Interest-Aware Graph Contrastive Learning for Recommendation With Diffusion-Based Augmentation. 414-427 - Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng, Pietro Lió:
Learning From Graph-Graph Relationship: A New Perspective on Graph-Level Anomaly Detection. 428-441 - Xu Tan, Junqi Chen, Jiawei Yang, Jie Chen, Susanto Rahardja:
MMM: A Unified Weakly-Supervised Anomaly Detection Framework for Multi-Distributional Data. 442-456 - Yuanyuan Yao, Yuhan Shi, Lu Chen, Ziquan Fang, Yunjun Gao, Leong Hou U, Yushuai Li, Tianyi Li:
Moon: A Modality Conversion-Based Efficient Multivariate Time Series Anomaly Detection. 457-474 - Wenyuan Fang, Wei Huang, Yanhua Liu, Jia Liu, Tianrui Li:
Multi-Party Federated Urban Flow Mining and Analysis Based on Lazy Aggregation. 475-488 - Chang Cui, Yongqiang Tang, Yuxun Qu, Wensheng Zhang:
Multiplex Graph Guided Deep Survival Analysis. 489-505 - Wenna Lai, Haoran Xie, Guandong Xu, Qing Li:
Multi-Task Learning With LLMs for Implicit Sentiment Analysis: Data-Level and Task-Level Automatic Weight Learning. 506-517 - Junyou Zhu, Christian Nauck, Michael Lindner, Langzhou He, Philip S. Yu, Klaus-Robert Müller, Jürgen Kurths, Frank Hellmann:
Network Measure-Enriched GNNs: A New Framework for Power Grid Stability Prediction. 518-531 - Xu Gao, Xiu Tang, Chang Yao, Sai Wu, Gongsheng Yuan, Wenchao Zhou, Feifei Li, Gang Chen:
OMCR: An Online Multivariate Forecaster for Cloud Resource Management. 532-545 - He Zhang, Shuang Wang, Long Chen, Xiaoping Li, Qing Gao, Quan Z. Sheng:
Reliable Truth Discovery for Dynamic and Dependent Sources. 546-558 - Yuchen Li, Zhonghao Lyu, Yongqi Zhang, Hao Zhang, Tianhao Peng, Haoyi Xiong, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin:
S$^{3}$PRank: Toward Satisfaction-Oriented Learning to Rank With Semi-Supervised Pre-Training. 559-572 - Xu Yang, Hongguang Zhao, Saiyu Qi, Yong Qi:
SeaCQ: Secure and Efficient Authenticated Conjunctive Query in Hybrid-Storage Blockchains. 573-587 - Songnian Zhang, Hao Yuan, Hui Zhu, Jun Shao, Yandong Zheng, Fengwei Wang:
Secure and Practical Time Series Analytics With Mixed Model. 588-601 - Xianshuang Yao, Huiyu Wang:
Serial-Parallel Fractional-Integer-Order Echo State Network for Time Series Prediction. 602-615 - Abd-Krim Seghouane, Muhammad Ali Qadar, Inge Koch, Aref Miri Rekavandi:
Sparse Canonical Correlation Analysis With Preserved Sparsity. 616-630 - Yuan Gao, Yuchen Li, Bingsheng He, Hezhe Qiao, Guoguo Ai, Hui Yan:
SSD: Self-Supervised Distillation for Heterophilic Graph Representation Learning. 631-644 - Mingyu Yang, Wentao Li, Wei Wang, Dong Wen, Min Gao, Lu Qin:
Structural Clustering for Bipartite Graphs. 645-658 - Yunshi Lan, Xinyuan Li, Hanyue Du, Xuesong Lu, Ming Gao, Weining Qian, Aoying Zhou:
Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends. 659-678 - Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong:
Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering. 679-693
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last updated on 2026-01-24 22:06 CET by the dblp team
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