| Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection | Apr 22, 2025 | Contrastive LearningFraud Detection | CodeCode Available | 3 | 5 |
| Deep Graph Anomaly Detection: A Survey and New Perspectives | Sep 16, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 3 | 5 |
| Generative Semi-supervised Graph Anomaly Detection | Feb 19, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 | 5 |
| Rethinking Graph Neural Networks for Anomaly Detection | May 31, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 | 5 |
| Alleviating Structural Distribution Shift in Graph Anomaly Detection | Jan 25, 2024 | Anomaly DetectionBinary 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 |
| DAGAD: Data Augmentation for Graph Anomaly Detection | Oct 18, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning | Sep 12, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Class Label-aware Graph Anomaly Detection | Aug 22, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection | Dec 22, 2023 | Anomaly DetectionFraud Detection | CodeCode Available | 1 | 5 |
