| FGAD: Self-boosted Knowledge Distillation for An Effective Federated Graph Anomaly Detection Framework | Feb 20, 2024 | Anomaly DetectionFederated Learning | —Unverified | 0 |
| From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach | Feb 11, 2022 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness | Nov 28, 2022 | Anomaly DetectionAttribute | —Unverified | 0 |
| Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection | Mar 15, 2024 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition | Mar 1, 2025 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach | Aug 2, 2023 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| Graph Anomaly Detection via Adaptive Test-time Representation Learning across Out-of-Distribution Domains | Feb 20, 2025 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View | Dec 1, 2022 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges | Sep 29, 2022 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| Graph Anomaly Detection with Noisy Labels by Reinforcement Learning | Jul 8, 2024 | Anomaly DetectionFraud Detection | —Unverified | 0 |
