Zengyi Wo

According to our database, Zengyi Wo authored at least 9 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs.

Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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, October, 2025

Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment.

Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li

CoRR, October, 2025

Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum.

Zengyi Wo, Wenjun Wang, Minglai Shao, Chang Liu, Yumeng Wang, Yueheng Sun

CoRR, August, 2025

Improving Fairness in Graph Neural Networks via Counterfactual Debiasing.

Zengyi Wo, Chang Liu, Yumeng Wang, Minglai Shao, Wenjun Wang

CoRR, August, 2025

Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection.

Zengyi Wo, Minglai Shao, Shiyu Zhang, Ruijie Wang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks.

Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning.

Chang Liu, Zengyi Wo, Minglai Shao, Wenjun Wang, Qin Tian

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Graph Contrastive Learning via Interventional View Generation.

Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin

Proceedings of the ACM on Web Conference 2024, 2024