| 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 |
