IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING Home

IEEE Transactions on Knowledge and Data Engineering

Volume 36, Issue 10

Oct. 2024

IEEE Educational Activities Department
445 Hoes Lane P.O. Box 1331 Piscataway, NJ
United States

Bibliometrics

Subject Areas

Most Frequent Affiliations

Most Cited Authors

Latest Issue

Volume 36, Issue 10 Oct. 2024
ISSN:1041-4347
View Table of Contents
research-article
DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data
- Zhihao Shen
  School of Cyber Science and Engineering, Xi'an Jiaotong University, Xi'an, China
  ,
- Kang Yang
  Department of Computer Science and Engineering, University of California, Merced, CA, USA
  ,
- Xi Zhao
  School of Management, Xi'an Jiaotong University, Xi'an, China
  ,
- Jianhua Zou
  School of Electronic and Information Engineering, Xi'an Jiaotong University, Guangdong Xi'an Jiaotong University Academy, Xi'an, China
  ,
- Wan Du
  Department of Computer Science and Engineering, University of California, Merced, CA, USA
  ,
- Junjie Wu
  School of Economics and Management, Beihang University, Beijing, China
October 2024pp 5120-5137 https://doi.org/10.1109/TKDE.2024.3383881
research-article
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples
- Jianxiang Yu
  School of Data Science and Engineering, East China Normal University, Shanghai, China
  ,
- Qingqing Ge
  School of Data Science and Engineering, East China Normal University, Shanghai, China
  ,
- Xiang Li
  School of Data Science and Engineering, East China Normal University, Shanghai, China
  ,
- Aoying Zhou
  School of Data Science and Engineering, East China Normal University, Shanghai, China
October 2024pp 5181-5193 https://doi.org/10.1109/TKDE.2024.3377431
research-article
SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels
- Xin Liang
  Shenzhen Institute for Advanced Study, UESTC, Shenzhen, China
  ,
- Yanli Ji
  School of Computer Science and Engineering, UESTC, Chengdu, China
  ,
- Wei-Shi Zheng
  School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
  ,
- Wangmeng Zuo
  School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
  ,
- Xiaofeng Zhu
  School of Computer Science and Engineering, UESTC, Chengdu, China
October 2024pp 5409-5422 https://doi.org/10.1109/TKDE.2024.3386829
research-article
Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction
- Menghui Zhou
  Department of Software, Yunnan University, Kunming, China
  ,
- Xulong Wang
  Department of Computer Science, University of Sheffield, Sheffield, U.K.
  ,
- Tong Liu
  Department of Computer Science, University of Sheffield, Sheffield, U.K.
  ,
- Yun Yang
  Yunnan Key Laboratory of Software Engineering and the Department of Software, Yunnan University, Kunming, China
  ,
- Po Yang
  Department of Computer Science, University of Sheffield, Sheffield, U.K.
October 2024pp 5206-5220 https://doi.org/10.1109/TKDE.2024.3385712
research-article
Interaction Subgraph Sequential Topology-Aware Network for Transferable Recommendation
- Kang Yang
  Software College, Northeastern University, Shenyang, China
  ,
- Ruiyun Yu
  Software College, Northeastern University, Shenyang, China
  ,
- Bingyang Guo
  Software College, Northeastern University, Shenyang, China
  ,
- Jie Li
  Software College, Northeastern University, Shenyang, China
October 2024pp 5221-5233 https://doi.org/10.1109/TKDE.2024.3384965

View latest Issue

Recent Award Winners

View all Award Winners

Subject Areas

Most Frequent Affiliations

Most Cited Authors

Latest Issue

DMM: A Deep Reinforcement Learning Based Map Matching Framework for Cellular Data

Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples

SV-Learner: Support-Vector Contrastive Learning for Robust Learning With Noisy Labels

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer&#x0027;s Disease Progression Prediction

Interaction Subgraph Sequential Topology-Aware Network for Transferable Recommendation

Recent Award Winners

Most Popular

Integrating Visualised Automatic Temporal Relation Graph into Multi-Task Learning for Alzheimer's Disease Progression Prediction