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AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection

Qiao, Hezhe et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Graph anomaly detection (GAD) aims to identify abnormal nodes that differ from the majority of the nodes in a graph, which has been attracting significant attention in recent years. Existing generalist graph models have achieved remarkable success in different graph tasks but struggle to generalize
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