Bridging Disentanglement with Independence and Conditional Independence via Mutual Information for Representation Learning. - Xiaojiang Yang; Wendong Bi; Yu Cheng; Junchi Yan (CoRR, 2019)

Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks. - Wendong Bi; Bingbing Xu 001; Xiaoqian Sun; Zidong Wang 007; Huawei Shen; Xueqi Cheng (KDD, 2022)

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. - Chongjian Yue; Lun Du; Qiang Fu 015; Wendong Bi; Hengyu Liu 001; Yu Gu 002; Di Yao 001 (CoRR, 2022)

Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. - Wendong Bi; Lun Du; Qiang Fu 015; Yanlin Wang 001; Shi Han; Dongmei Zhang 001 (CoRR, 2022)

Bridged-GNN: Knowledge Bridge Learning for Effective Knowledge Transfer. - Wendong Bi; Xueqi Cheng; Bingbing Xu 001; Xiaoqian Sun; Easton Li Xu; Huawei Shen (CIKM, 2023)

MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. - Wendong Bi; Lun Du; Qiang Fu 015; Yanlin Wang 001; Shi Han; Dongmei Zhang 001 (WSDM, 2023)

Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network. - Wendong Bi; Bingbing Xu 001; Xiaoqian Sun; Easton Li Xu; Huawei Shen; Xueqi Cheng (WWW, 2023)

Homophily-oriented Heterogeneous Graph Rewiring. - Jiayan Guo; Lun Du; Wendong Bi; Qiang Fu 015; Xiaojun Ma; Xu Chen 022; Shi Han; Dongmei Zhang 001; Yan Zhang 117 (WWW, 2023)

DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs. - Chang Liu 078; Yuwen Yang; Yue Ding 001; Hongtao Lu 001; Wenqing Lin; Ziming Wu; Wendong Bi (KDD, 2024)

Make Heterophilic Graphs Better Fit GNN: A Graph Rewiring Approach. - Wendong Bi; Lun Du; Qiang Fu 015; Yanlin Wang 001; Shi Han; Dongmei Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)