Publications

2025

    • Future Link Prediction Without Memory or Aggregation. [arXiv] [PDF] [Code]
      Lu Yi, Runli Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, and Yuhang Ye
      Preprint, 2025
    • Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier. [arXiv] [PDF] [Code]
      Lu Yi and Zhewei Wei
      International Conference on Learning Representations (ICLR), 2025. (Spotlight, 5.1%)
    • TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. [arXiv] [PDF] [Code]
      Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, and Zengfeng Huang
      International Conference on Learning Representations (ICLR), 2025

2024

    • A Survey of Dynamic Graph Neural Networks. [URL] [PDF]
      Yanping Zheng, Lu Yi, and Zhewei Wei
      Frontiers of Computer Science (FCS), 2024
    • Random-Walk Probability Computation on Dynamic Weighted Graphs. [URL] [PDF] [Code]
      Wang Hanzhi, Yi Lu, Wei Zhewei, Gan Junhao, Yuan Ye, Wen Jirong, and Du Xiaoyong
      Journal of Computer Research and Development (J-CRAD 2024), 2024

2023

    • Optimal Dynamic Subset Sampling: Theory and Applications. [arXiv] [PDF] [Poster]
      Lu YiHanzhi Wang, and Zhewei Wei
      Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023