Jie Peng (彭杰) is presently a second-year Ph.D. student at the Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Prof. Zhewei Wei. Prior to this, he received his B.E. degree in Software Engineering from the School of Software Engineering, University of Electronic Science and Technology of China, in June 2023.

Research Interests

My research focuses on graph machine learning. I am currently working on dynamic graph neural networks, dynamic text-attributed graphs, graph Transformers, and the Over-smoothing issue of deep graph neural networks.

Publication

• TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer.

  Jie Peng, Zhewei Wei*, Yuhang Ye. (Accepted by KDD 2025)

• Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks.

  Jie Peng, Runlin Lei, Zhewei Wei*. (Accepted by CIKM 2024)

• TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics.

  Lu Yi, Jie Peng, Yanping Zheng*, Fengran Mo, Zhewei Wei*, Yuhang Ye, Yue Zixuan, Zengfeng Huang. (Accepted by ICLR 2025)

Contact information

Email: peng_jie@ruc.edu.cn