Publications

• GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning

  Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong.

  Work in progress.

  [Download paper] [code]

• Future Link Prediction Without Memory or Aggregation

  Lu Yi, Runlin Lei, Fengran Mo, Yanping Zheng, Zhewei Wei, Yuhang Ye.

  In NeurIPS 2025.

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• Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs

  Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong.

  Work in progress.

  [Download paper]

• Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level

  Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei.

  In NeurIPS 2024.

  [Download paper] [code]

• LLM-Based Multi-Agent Systems are Scalable Graph Generative Models

  Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding.

  In ACL (Findings) 2024.

  [Download paper] [code]

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

  Jie Peng, Runlin Lei, Zhewei Wei.

  In CIKM 2024.

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• Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents

  Yuwei Hu, Runlin Lei, Xinyi Huang, Zhewei Wei, Yongchao Liu.

  Work in progress.

  [Download paper]

• Learning-based Property Estimation with Polynomials

  Jiajun Li, Runlin Lei, Sibo Wang, Bolin Ding, Zhewei Wei.

  In SIGMOD 2024.

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• PolyGCL: Graph Contrastive Learning via Learnable Spectral Polynomial Filters

  Jingyu Chen, Runlin Lei, Zhewei Wei.

  In ICLR 2024.

  [Download paper] [code]

• Evennet: Ignoring odd-hop neighbors improves robustness of graph neural networks

  Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei.

  In NeurIPS 2022.

  [Download paper] [code]