| Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | May 29, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Energy Transformer | Feb 14, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Subgraph Centralization: A Necessary Step for Graph Anomaly Detection | Jan 17, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment | Dec 2, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| DAGAD: Data Augmentation for Graph Anomaly Detection | Oct 18, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| Graph Anomaly Detection with Unsupervised GNNs | Oct 18, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation | Sep 21, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
| Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection | Aug 23, 2021 | Anomaly DetectionAttribute | CodeCode Available | 1 |
| A Comprehensive Survey on Graph Anomaly Detection with Deep Learning | Jun 14, 2021 | Anomaly DetectionDeep Learning | CodeCode Available | 1 |
| One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks | Feb 22, 2020 | Anomaly DetectionGeneral Classification | CodeCode Available | 1 |
