Refereed Publications (Google Scholar)
Please see my Google Scholar or here for full publication list. (* Co-first author, ** Corresponding author)
Tutorial
| IJCAI'25 | Deep Learning for Graph Anomaly Detection [Website] [Project] Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang |
Preprints
| |
Deep Graph Anomaly Detection: A Survey and New Perspectives (2024) [PDF] [Code] Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu Aggarwal, Guansong Pang |
2025
| KDD'25 | Graph Foundation Model for Zero/Few-shot Anomaly Detection (2025) [PDF] [Code] Hezhe Qiao*, Chaoxi Niu*, Ling Chen, Guansong Pang |
| ICML'25 | GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers (2024) [PDF] [Code] Guoguo Ai, Guansong Pang, Hezhe Qiao, Yuan Gao, Hui Yan |
| IJCAI'25 |
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts
[PDF]
[Code]
Chaoxi Niu*, Hezhe Qiao*, Changlu Chen, Ling Chen, Guansong Pang |
2024
| NeurIPS'24 |
Generative Semi-supervised Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang |
2023
| NeurIPS'23 |
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
[PDF]
[Code]
[Slides] Hezhe Qiao, Guansong Pang |