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Graph Anomaly Detection

Papers

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Showing 1–50 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
Generative Semi-supervised Graph Anomaly DetectionCode2
Rethinking Graph Neural Networks for Anomaly DetectionCode2
AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly DetectionCode1
Out-of-Distribution Detection on Graphs: A SurveyCode1
UniGAD: Unifying Multi-level Graph Anomaly DetectionCode1
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood PromptsCode1
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly DetectorCode1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and EvaluationCode1
Alleviating Structural Distribution Shift in Graph Anomaly DetectionCode1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly DetectionCode1
Towards Self-Interpretable Graph-Level Anomaly DetectionCode1
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly DetectionCode1
Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive LearningCode1
Class Label-aware Graph Anomaly DetectionCode1
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly DetectionCode1
Improving Generalizability of Graph Anomaly Detection Models via Data AugmentationCode1
GAD-NR: Graph Anomaly Detection via Neighborhood ReconstructionCode1
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly DetectionCode1
Energy TransformerCode1
Subgraph Centralization: A Necessary Step for Graph Anomaly DetectionCode1
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive AlignmentCode1
DAGAD: Data Augmentation for Graph Anomaly DetectionCode1
Graph Anomaly Detection with Unsupervised GNNsCode1
Improving Generalizability of Graph Anomaly Detection Models via Data AugmentationCode1
Generative and Contrastive Self-Supervised Learning for Graph Anomaly DetectionCode1
A Comprehensive Survey on Graph Anomaly Detection with Deep LearningCode1
One-Class Graph Neural Networks for Anomaly Detection in Attributed NetworksCode1
Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection—0
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection—0
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly DetectionCode0
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective—0
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph CoarseningCode0
EAGLE: Contrastive Learning for Efficient Graph Anomaly Detection—0
Towards Anomaly-Aware Pre-Training and Fine-Tuning for Graph Anomaly Detection—0
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection—0
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph LearningCode0
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition—0
Graph Anomaly Detection via Adaptive Test-time Representation Learning across Out-of-Distribution Domains—0
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection—0
Semi-supervised Anomaly Detection with Extremely Limited Labels in Dynamic Graphs—0
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly DetectionCode0
Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity—0
UMGAD: Unsupervised Multiplex Graph Anomaly Detection—0
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel ApproachCode0
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly DetectionCode0
Graph Pre-Training Models Are Strong Anomaly Detectors—0
Towards Cross-domain Few-shot Graph Anomaly Detection—0
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