| AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection | Feb 13, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| ARC: A Generalist Graph Anomaly Detector with In-Context Learning | May 27, 2024 | Anomaly DetectionARC | CodeCode Available | 1 | 5 |
| Alleviating Structural Distribution Shift in Graph Anomaly Detection | Jan 25, 2024 | Anomaly DetectionBinary Classification | CodeCode Available | 1 | 5 |
| DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector | Oct 9, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation | Sep 21, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks | Feb 22, 2020 | Anomaly DetectionGeneral Classification | CodeCode Available | 1 | 5 |
| A Comprehensive Survey on Graph Anomaly Detection with Deep Learning | Jun 14, 2021 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | Feb 25, 2024 | Anomaly DetectionFairness | CodeCode Available | 1 | 5 |
| Energy Transformer | Feb 14, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts | Oct 18, 2024 | Anomaly DetectionAttribute | CodeCode Available | 1 | 5 |
