Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective
Kuan Li, YiWen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao.In ICLR 2024. [Download paper] [code]
Kuan Li Homepage
About Me
I am currently a PhD student at CSE HKUST under the supervision of Prof. Minhao Cheng and Prof. Shuai Wang. I obtained my M.E. degree from Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS) supervised by Prof. Xiang Ao, and completed my B.E. degree in Electrical Engineering and Automation at Beihang University.
If you have any questions regarding my work or are interested in collaborating with me, please contact me via email.
Contact information
Email: likuan.ppd@gmail.com
Wechat: Kuan_ppd
Research interests
My interest lies in machine learning on graphs. Now I am working on Graph Adversarial Attack, dynamic graph modeling, and imbalanced node classification.
Aggregate the knowledge and distill it into intelligence.
Publications
In ICLR 2024. [Download paper] [code]FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs
Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He.
In KDD 2023. [Download paper]Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective
Kuan Li, Yang Liu, Qing He, Xiang Ao.
In ICLR 2023. [Download paper] [code]Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN
Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He.
In KDD 2022. [Download paper] [code]AUC-oriented Graph Neural Network for Fraud Detection
Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Yang Hao and Qing He.
In WWW 2022. [Download paper]