Runlin Lei's Homepage

About Me

Welcome to My Homepage. I’m Runlin Lei (雷润林), a second-year Ph.D. student at Renmin University of China, advised by Prof. Zhewei Wei. Before my Ph.D. journey, I obtained my Bachelor’s degree from Shanghai University of Finance and Economics, advised by Prof. Hongsong Yuan.

I like sleeping and 🐷. Both are good. This is my GitHub homepage. Feel free to explore and learn more about me and my projects.

Contact information

Email: runlin_lei@ruc.edu.cn.

WeChat: wjccc77777

Research interests

My interest lies in machine learning on graphs. Now I am working on spectral graph neural networks, graph learning on heterophilic graphs, and graph adversarial attack & defense.

Publications

Learning-based Property Estimation with Polynomials

Jiajun Li, Runlin Lei, Sibo Wang, Bolin Ding, Zhewei Wei.
In SIGMOD 2024.

PolyGCL: Graph Contrastive Learning via Learnable Spectral Polynomial Filters

Jingyu Chen, Runlin Lei, Zhewei Wei.
In ICLR 2024.

Evennet: Ignoring odd-hop neighbors improves robustness of graph neural networks

Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei.
In NIPS 2022. [Download paper] [code]