| GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps | Nov 10, 2023 | Anomaly DetectionDecision Making | —Unverified | 0 |
| 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 |
| Label-based Graph Augmentation with Metapath for Graph Anomaly Detection | Aug 21, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 |
| Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph | Aug 5, 2023 | Anomaly DetectionFraud Detection | CodeCode Available | 0 |
| Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach | Aug 2, 2023 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection | Jul 28, 2023 | Anomaly DetectionCoLA | —Unverified | 0 |
| Coupled-Space Attacks against Random-Walk-based Anomaly Detection | Jul 26, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 |
| 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 |
| MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection | May 18, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 0 |
| Energy Transformer | Feb 14, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Graph Anomaly Detection in Time Series: A Survey | Jan 31, 2023 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| Subgraph Centralization: A Necessary Step for Graph Anomaly Detection | Jan 17, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information | Dec 11, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 |
| Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment | Dec 2, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 |
| Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View | Dec 1, 2022 | Anomaly DetectionContrastive Learning | —Unverified | 0 |
| ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness | Nov 28, 2022 | Anomaly DetectionAttribute | —Unverified | 0 |
| MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate Time Series | Nov 22, 2022 | Anomaly DetectionGraph Anomaly Detection | —Unverified | 0 |
| Graph Anomaly Detection with Unsupervised GNNs | Oct 18, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 |
| DAGAD: Data Augmentation for Graph Anomaly Detection | Oct 18, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 |
