| GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection | Jun 21, 2023 | Anomaly DetectionBenchmarking | CodeCode Available | 1 |
| Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation | Jun 18, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction | Jun 2, 2023 | Anomaly DetectionFraud Detection | CodeCode Available | 1 |
| Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | May 29, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection | May 18, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 0 |
| Energy Transformer | Feb 14, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Graph Anomaly Detection in Time Series: A Survey | Jan 31, 2023 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| Subgraph Centralization: A Necessary Step for Graph Anomaly Detection | Jan 17, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information | Dec 11, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 |
| Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment | Dec 2, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
