Wu, Fengge

5 publications

AAAI 2025 Bootstrapping Heterogeneous Graph Representation Learning via Large Language Models: A Generalized Approach Hang Gao, Chenhao Zhang, Fengge Wu, Changwen Zheng, Junsuo Zhao, Huaping Liu

ICML 2025 LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification Hang Gao, Huang Wenxuan, Fengge Wu, Zhao Junsuo, Changwen Zheng, Huaping Liu

IJCAI 2025 Learn to Think: Bootstrapping LLM Logic Through Graph Representation Learning Hang Gao, Chenhao Zhang, Tie Wang, Junsuo Zhao, Fengge Wu, Changwen Zheng, Huaping Liu

ECML-PKDD 2024 Molecular Graph Representation Learning via Structural Similarity Information Chengyu Yao, Hong Huang, Hang Gao, Fengge Wu, Haiming Chen, Junsuo Zhao

AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu