| Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks | Mar 6, 2024 | Anomaly DetectionBenchmarking | CodeCode Available | 0 |
| Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | Feb 25, 2024 | Anomaly DetectionFairness | CodeCode Available | 1 |
| FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework | Feb 20, 2024 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| Generative Semi-supervised Graph Anomaly Detection | Feb 19, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 |
| Alleviating Structural Distribution Shift in Graph Anomaly Detection | Jan 25, 2024 | Anomaly DetectionBinary Classification | CodeCode Available | 1 |
| Multitask Active Learning for Graph Anomaly Detection | Jan 24, 2024 | Active LearningAnomaly Detection | CodeCode Available | 0 |
| ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection | Dec 22, 2023 | Anomaly DetectionFraud Detection | CodeCode Available | 1 |
| Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection | Dec 9, 2023 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection | Nov 17, 2023 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| Open-Set Graph Anomaly Detection via Normal Structure Regularisation | Nov 12, 2023 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
