Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. - Xiang Li 067; Renyu Zhu; Yao Cheng 009; Caihua Shan; Siqiang Luo; Dongsheng Li 002; Weining Qian (ICML, 2022)

Graph Self-Contrast Representation Learning. - Minjie Chen; Yao Cheng 009; Ye Wang; Xiang Li 067; Ming Gao 001 (ICDM, 2023)

Label Propagation for Graph Label Noise. - Yao Cheng 009; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (CoRR, 2023)

Prioritized Propagation in Graph Neural Networks. - Yao Cheng 009; Minjie Chen; Xiang Li 067; Caihua Shan; Ming Gao 001 (CoRR, 2023)

Self-supervised Heterogeneous Graph Variational Autoencoders. - Yige Zhao; Jianxiang Yu 001; Yao Cheng 009; Chengcheng Yu; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (CoRR, 2023)

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. - Yao Cheng 009; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (KDD, 2024)

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Yao Cheng 009; Jiaqi Tan 006; Chengcheng Yu (ECML/PKDD (2), 2024)

Towards Learning from Graphs with Heterophily: Progress and Future. - Chenghua Gong; Yao Cheng 009; Jianxiang Yu 001; Can Xu; Caihua Shan; Siqiang Luo; Xiang Li 067 (CoRR, 2024)

Improving Graph Out-of-distribution Generalization on Real-world Data. - Can Xu; Yao Cheng 009; Jianxiang Yu 001; Haosen Wang; Jingsong Lv; Xiang Li 067 (CoRR, 2024)

Boosting Graph Foundation Model from Structural Perspective. - Yao Cheng 009; Yige Zhao; Jianxiang Yu 001; Xiang Li 067 (CoRR, 2024)

Can Large Language Models Act as Ensembler for Multi-GNNs? - Hanqi Duan; Yao Cheng 009; Jianxiang Yu 001; Xiang Li 067 (CoRR, 2024)

SEAGraph: Unveiling the Whole Story of Paper Review Comments. - Jianxiang Yu 001; Jiaqi Tan 006; Zichen Ding 002; Jiapeng Zhu 002; Jiahao Li; Yao Cheng 009; Qier Cui; Yunshi Lan; Xiang Li 067 (CoRR, 2024)

Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks. - Yao Cheng 009; Minjie Chen; Caihua Shan; Xiang Li 067 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract). - Yao Cheng 009; Minjie Chen; Caihua Shan; Xiang Li 067 (ICDE, 2025)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes. - Yige Zhao; Jianxiang Yu 001; Yao Cheng 009; Chengcheng Yu; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (KDD (1), 2025)

Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving. - Yao Cheng 009; Yibo Zhao 005; Jiapeng Zhu 002; Yao Liu; Xing Sun; Xiang Li 067 (CoRR, 2025)