| Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection | Apr 22, 2025 | Contrastive LearningFraud Detection | CodeCode Available | 3 |
| Deep Graph Anomaly Detection: A Survey and New Perspectives | Sep 16, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 3 |
| Generative Semi-supervised Graph Anomaly Detection | Feb 19, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 |
| Rethinking Graph Neural Networks for Anomaly Detection | May 31, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 |
| AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection | Feb 13, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Out-of-Distribution Detection on Graphs: A Survey | Feb 12, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| UniGAD: Unifying Multi-level Graph Anomaly Detection | Nov 10, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts | Oct 18, 2024 | Anomaly DetectionAttribute | CodeCode Available | 1 |
| DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector | Oct 9, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| ARC: A Generalist Graph Anomaly Detector with In-Context Learning | May 27, 2024 | Anomaly DetectionARC | CodeCode Available | 1 |
| Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | Feb 25, 2024 | Anomaly DetectionFairness | CodeCode Available | 1 |
| Alleviating Structural Distribution Shift in Graph Anomaly Detection | Jan 25, 2024 | Anomaly DetectionBinary Classification | CodeCode Available | 1 |
| ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection | Dec 22, 2023 | Anomaly DetectionFraud Detection | CodeCode Available | 1 |
| Towards Self-Interpretable Graph-Level Anomaly Detection | Oct 25, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection | Oct 18, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning | Sep 12, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Class Label-aware Graph Anomaly Detection | Aug 22, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| 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 |
| 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 |
