🤵🏻 About me
I am a master with research interests in Graph Neural Networks. I am now from School of Data Science and Engineering in East China Normal University, where I am very fortunate to be advised by professor Xiang Li in PLANING LAB. Most recently, I am interested in the following topics:
- Graph Neural Networks.
- Graph Representation Learning.
- Self-supervised Learning on Graphs.
- Graph Foundation Models.
Welcome to visit my other portal websites ZhiHu to learn more.
🔥 News
- 2024.07: 🎉🎉🎉 One papers are accepted by Frontiers of Computer Science(FCS)!
- 2024.05: 🎉🎉🎉 One papers are accepted by ECML-PKDD 2024!
📝 Publications
- [Frontiers of Computer Science] Agents with Foundation Models: Advance and Vision, Chenghua Gong, Xiang Li.
- [ECML-PKDD 2024] Self-Pro: Self-Prompt and Tuning Framework for Graph Neural Networks, Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu.
- [Under Review] Towards Learning from Graphs with Heterophily: Progress and Future, Chenghua Gong, Xiang Li, Yao Cheng, Xiang Li, Caihua Shan, Siqiang Luo.
- [Under Review] Empower Text-Attributed Graphs Learning with Large Language Models (LLMs), Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang.
- [Under Review] Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis, Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, RenJing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li.
- [CBD 2021] Continuous K-Selection Capacity Constrained Assignment in Road-Networks, Chenghua Gong, Xiaoyu Sun, Bin Zhao.
📖 Educations
- 2022.06 - now, East China Normal University
- 2018.09 - 2022.06, Nanjing Normal University
💻 Internships
- 2024.07 - 2024.9 Linyuan Lab, USTC, Hefei, China.