Graph Contrastive Learning via Interventional View Generation. - Zengyi Wo; Minglai Shao 001; Wenjun Wang 002; Xuan Guo 005; Lu Lin 001 (WWW, 2024)

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. - Yumeng Wang; Zengyi Wo; Wenjun Wang 002; Xingcheng Fu; Minglai Shao 001 (IJCAI, 2025)

Improving Fairness in Graph Neural Networks via Counterfactual Debiasing. - Zengyi Wo; Chang Liu; Yumeng Wang; Minglai Shao 001; Wenjun Wang 002 (CoRR, 2025)

Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum. - Zengyi Wo; Wenjun Wang 002; Minglai Shao 001; Chang Liu; Yumeng Wang; Yueheng Sun (CoRR, 2025)

Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. - Yuhang Liu; Minglai Shao 001; Zengyi Wo; Yunlong Chu; Bing Hao; Shengzhong Liu; Ruijie Wang; Jianxin Li 002 (CoRR, 2025)

Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization. - Yunlong Chu; Minglai Shao; Zengyi Wo; Bing Hao; Yuhang Liu; Ruijie Wang; Jianxin Li (CoRR, 2025)