Publications

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]

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]