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News/Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
arxiv
PublishedSeptember 1, 2026 at 4:00 AM

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts

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arXiv:2602.06859v3 Announce Type: replace-cross Abstract: Graph Anomaly Detection (GAD) aims to identify irregular patterns in graph data, and recent works have explored zero-shot generalist GAD to enable generalization to unseen graph datasets. However, existing zero-shot GAD methods largely ignore

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