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Graph Anomaly Detection

Papers

Showing 125 of 87 papers

TitleStatusHype
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud DetectionCode3
Deep Graph Anomaly Detection: A Survey and New PerspectivesCode3
Rethinking Graph Neural Networks for Anomaly DetectionCode2
Generative Semi-supervised Graph Anomaly DetectionCode2
Energy TransformerCode1
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionCode1
Out-of-Distribution Detection on Graphs: A SurveyCode1
Graph Anomaly Detection with Unsupervised GNNsCode1
Improving Generalizability of Graph Anomaly Detection Models via Data AugmentationCode1
Improving Generalizability of Graph Anomaly Detection Models via Data AugmentationCode1
Alleviating Structural Distribution Shift in Graph Anomaly DetectionCode1
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly DetectionCode1
A Comprehensive Survey on Graph Anomaly Detection with Deep LearningCode1
Class Label-aware Graph Anomaly DetectionCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
GAD-NR: Graph Anomaly Detection via Neighborhood ReconstructionCode1
AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly DetectionCode1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly DetectionCode1
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive LearningCode1
DAGAD: Data Augmentation for Graph Anomaly DetectionCode1
Generative and Contrastive Self-Supervised Learning for Graph Anomaly DetectionCode1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
One-Class Graph Neural Networks for Anomaly Detection in Attributed NetworksCode1
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly DetectorCode1
Subgraph Centralization: A Necessary Step for Graph Anomaly DetectionCode1
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