Hello everyone, my name is Zhikai Chen. Currently, I am a first-year Ph.D. student from Michigan State University, supervised by Professor Jiliang Tang. Previously, I received both of my bachelor and master degree from Shanghai Jiao Tong University.
My research interest includes graph machine learning and large language models. Specifically, my current research is mainly about the development of graph foundation model.
💻 We are hosting a workshop on graph foundation models at WWW 2024 https://www.www24gfm.com/ and look forward to your submission!
📝 Publications
📝 Preprints
- Graph Foundation Models Haitao Mao*, Zhikai Chen*, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Michael Galkin, Jiliang Tang 2024 [Paper lists]
- Neural Scaling Laws on Graphs Jingzhe Liu, Haitao Mao, Zhikai Chen, Tong Zhao, Neil Shah, Jiliang Tang 2024
- Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Jiliang Tang 2024
- Fake News Detection with Contrastive Heterogeneous Graph Representation Learning Zhikai Chen, Li Pan 2021
📝 Published
- Label-free Node Classification on Graphs with Large Language Models (LLMS), Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang Code; ICLR 2024(poster)
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs preprint version journal version, Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang 2023 Code; SIGKDD Explorations and NeurIPS GLFrontiers 2023
- Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang; NeurIPS 2023(poster)
- Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms Zhikai Chen, Peng Wu, Li Pan; IJCNN 2022 Code
📝 Patents
- A Fake News Identification System Based on Heterogeneous Graph Contrastive Learning. CN114020928A,2022.
📝 Organizations
- Web Conference Workshop 2024: Graph Foundation Models Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Chen Luo, Jiliang Tang
🎖 Honors and Awards
- 2021.05 WAIC insurance multi-modal QA. 5th place/600+ teams
📖 Educations
- 2023.01 - Now, Michigan State University, Computer Science, Ph.D.
- 2020.09 - 2023.01, Shanghai Jiao Tong University, Cyberspace Security, Master Degree.
- 2016.09 - 2020.08, Shanghai Jiao Tong University, Joint Institute, ECE, Bachelor Degree.
📖 Talks
- 2024.02 From LLM4Graph to principled graph foundation models Video Slides LOGS Seminar
- 2023.08 Exploring the potential of LLMs Slides Shandong University, BUPT
💻 Internships
- 2023.05 - 2023.09, Baidu, Beijing, China
- 2021.01 - 2021.05, HK Vision, Shanghai, China
💻 Services
Reviewers for TKDE, TKDD, ACL, KDD (ADS track)
Student organizers of WWW2024 graph foundation model workshop