Publications

• Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network [pdf]

  W. Bi, B. Xu, X. Sun, L. Xu, H. Shen, X. Cheng

  In The ACM Web Conference 2023 (WWW’2023)

• Homophily-oriented Heterogeneous Graph Rewiring [pdf]

  J. Guo, L. Du, W. Bi, Q. Fu, X. Ma, X. Chen, S. Han, D. Zhang, Y. Zhang

  In The ACM Web Conference 2023 (WWW’2023)

• Company-as-Tribe: Company Financial Risk Assessment on Tribe-style Graph with Hierarchical Graph Neural Network [pdf] [video]

  W. Bi, B. Xu, X. Sun, Z. Wang, H. Shen, X. Cheng

  In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’22, oral)

• MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution [pdf] [video]

  W. Bi, L. Du, Q. Fu, Y. Wang, S. Han, D. Zhang

  In The International Conference on Web Search and Data Mining (WSDM’23, oral)

• HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction [pdf]

  C. Yue, L. Du, Q. Fu, W. Bi, H. Liu, Y. Gu, D. Yao

  In The International Conference on Web Search and Data Mining (WSDM’22)

  2nd prize in ACM WSDM Cup 2022

• Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach [pdf]

  W. Bi, L. Du, Q. Fu, Y. Wang, S. Han, D. Zhang

  In arXiv, paper under review

• Towards Better Understanding of Disentangled Representations via Mutual Information [pdf]

  X. Yang, W. Bi, Y. Sun, Y. Cheng, J. Yan

  In arXiv, paper under review