Zengyi Wo - RankMe

11 papers A* 3Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs. AAAI Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang
2025	J	`jnl`	Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization. CoRR Yunlong Chu, Minglai Shao, Zengyi Wo, Bing Hao, Yuhang Liu, Ruijie Wang, Jianxin Li
2025	J	`jnl`	Addressing Graph Anomaly Detection via Causal Edge Separation and Spectrum. CoRR Zengyi Wo, Wenjun Wang, Minglai Shao, Chang Liu, Yumeng Wang, Yueheng Sun
2025	J	`jnl`	Improving Fairness in Graph Neural Networks via Counterfactual Debiasing. CoRR Zengyi Wo, Chang Liu, Yumeng Wang, Minglai Shao, Wenjun Wang
2025	J	`jnl`	LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs. CoRR Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang
2025	J	`jnl`	Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. CoRR Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li
2025	A*	`conf`	Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. IJCAI Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025	J	`jnl`	Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks. CoRR Yumeng Wang, Zengyi Wo, Wenjun Wang, Xingcheng Fu, Minglai Shao
2025	—	`conf`	Local Homophily-Aware Graph Neural Network with Adaptive Polynomial Filters for Scalable Graph Anomaly Detection. KDD (2) Zengyi Wo, Minglai Shao, Shiyu Zhang, Ruijie Wang
2025	—	`conf`	Mining Denoising Complementarity and Consistent Consensus for Unsupervised Multiplex Graph Representation Learning. DASFAA (3) Chang Liu, Zengyi Wo, Minglai Shao, Wenjun Wang, Qin Tian
2024	A*	`conf`	Graph Contrastive Learning via Interventional View Generation. WWW Zengyi Wo, Minglai Shao, Wenjun Wang, Xuan Guo, Lu Lin