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State of Graph Anomaly Detection | Report | ScienceToStartup
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Graph Anomaly Detection
State of Graph Anomaly Detection
6 papers · avg viability 6.2
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Active Counterfactual Contrastive Learning
Top papers
TA-GGAD: Testing-time Adaptive Graph Model for Generalist Graph Anomaly Detection
(8.0)
NeiGAD: Augmenting Graph Anomaly Detection via Spectral Neighbor Information
(7.0)
Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach
(7.0)
Balanced Anomaly-guided Ego-graph Diffusion Model for Inductive Graph Anomaly Detection
(5.0)
AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection
(5.0)
Interpretable Graph-Level Anomaly Detection via Contrast with Normal Prototypes
(5.0)
