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News/A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction
arxiv
PublishedJune 12, 2026 at 4:00 AM
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A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction

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Publisher summary· verbatim

arXiv:2606.12673v1 Announce Type: cross Abstract: Cross-domain graph anomaly detection (GAD) aims to identify abnormal nodes in unseen target graphs, showing strong potential in real-world applications with heterogeneous graph data. However, existing methods often depend on dataset-specific feature

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Mentioned models
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#anomaly-detection#graph-neural-networks#zero-shot-learning#machine-learning

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