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News/DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection
arxiv
PublishedMay 27, 2026 at 4:00 AM

DDGAD: Trajectory Dynamics for Diffusion-Based Graph Anomaly Detection

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Publisher summary· verbatim

arXiv:2605.26446v1 Announce Type: cross Abstract: Graph anomaly detection (GAD) aims to identify nodes or substructures whose behavior or attributes deviate significantly from the overall pattern in graph-structured data, with critical applications in financial risk control, social network analysis,

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