| Deep Graph Anomaly Detection: A Survey and New Perspectives | Sep 16, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 3 | 5 |
| Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection | Apr 22, 2025 | Contrastive LearningFraud Detection | CodeCode Available | 3 | 5 |
| Rethinking Graph Neural Networks for Anomaly Detection | May 31, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 | 5 |
| Generative Semi-supervised Graph Anomaly Detection | Feb 19, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 2 | 5 |
| GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection | Jun 21, 2023 | Anomaly DetectionBenchmarking | CodeCode Available | 1 | 5 |
| Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation | Jun 18, 2023 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction | Jun 2, 2023 | Anomaly DetectionFraud Detection | CodeCode Available | 1 | 5 |
| Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation | Sep 21, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection | Aug 23, 2021 | Anomaly DetectionAttribute | CodeCode Available | 1 | 5 |
| Graph Anomaly Detection with Unsupervised GNNs | Oct 18, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| Towards Self-Interpretable Graph-Level Anomaly Detection | Oct 25, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| A Comprehensive Survey on Graph Anomaly Detection with Deep Learning | Jun 14, 2021 | Anomaly DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Class Label-aware Graph Anomaly Detection | Aug 22, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| Alleviating Structural Distribution Shift in Graph Anomaly Detection | Jan 25, 2024 | Anomaly DetectionBinary Classification | CodeCode Available | 1 | 5 |
| Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation | Feb 25, 2024 | Anomaly DetectionFairness | CodeCode Available | 1 | 5 |
| Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment | Dec 2, 2022 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts | Oct 18, 2024 | Anomaly DetectionAttribute | 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 |
| DAGAD: Data Augmentation for Graph Anomaly Detection | Oct 18, 2022 | Anomaly DetectionData Augmentation | CodeCode Available | 1 | 5 |
| AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection | Feb 13, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| Subgraph Centralization: A Necessary Step for Graph Anomaly Detection | Jan 17, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector | Oct 9, 2024 | 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 |
| UniGAD: Unifying Multi-level Graph Anomaly Detection | Nov 10, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| ARC: A Generalist Graph Anomaly Detector with In-Context Learning | May 27, 2024 | Anomaly DetectionARC | CodeCode Available | 1 | 5 |
| Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection | May 29, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| Energy Transformer | Feb 14, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection | Oct 18, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Out-of-Distribution Detection on Graphs: A Survey | Feb 12, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 1 | 5 |
| One-Class Graph Neural Networks for Anomaly Detection in Attributed Networks | Feb 22, 2020 | Anomaly DetectionGeneral Classification | CodeCode Available | 1 | 5 |
| Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks | Mar 6, 2024 | Anomaly DetectionBenchmarking | CodeCode Available | 0 | 5 |
| Online Detection of Anomalies in Temporal Knowledge Graphs with Interpretability | Aug 1, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach | Aug 17, 2022 | Anomaly DetectionAttribute | CodeCode Available | 0 | 5 |
| ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection | Oct 27, 2024 | Anomaly DetectionContrastive Learning | CodeCode Available | 0 | 5 |
| Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection | May 25, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection | Jul 2, 2024 | Anomaly Detectioncounterfactual | CodeCode Available | 0 | 5 |
| Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph | Aug 5, 2023 | Anomaly DetectionFraud Detection | CodeCode Available | 0 | 5 |
| Label-based Graph Augmentation with Metapath for Graph Anomaly Detection | Aug 21, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| Coupled-Space Attacks against Random-Walk-based Anomaly Detection | Jul 26, 2023 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| Action Sequence Augmentation for Early Graph-based Anomaly Detection | Oct 20, 2020 | Anomaly DetectionData Augmentation | CodeCode Available | 0 | 5 |
| Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach | Apr 15, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement | Jun 3, 2024 | Anomaly DetectionDecision Making | CodeCode Available | 0 | 5 |
| High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach | Nov 4, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection | May 18, 2023 | Anomaly DetectionFew-Shot Learning | CodeCode Available | 0 | 5 |
| Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information | Dec 11, 2022 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| Multitask Active Learning for Graph Anomaly Detection | Jan 24, 2024 | Active LearningAnomaly Detection | CodeCode Available | 0 | 5 |
| On Generalization of Graph Autoencoders with Adversarial Training | Jul 6, 2021 | Anomaly DetectionClustering | CodeCode Available | 0 | 5 |
| Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening | May 20, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations | Oct 9, 2024 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
| Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection | Jan 24, 2025 | Anomaly DetectionGraph Anomaly Detection | CodeCode Available | 0 | 5 |
