FoundAna: A GNN-assisted Foundation Model for Graph Anomaly Detection
Graph anomaly detection aims to identify graph structures (e.g., nodes, edges, or subgraphs) that deviate significantly from expected patterns, which supports critical applications in fraud detection, spam identification, network intrusion, etc. Despite the growing methods in the field, existing approaches follow a one...
Suprim Nakarmi, Chahana Dahal, Yue Zhao et al.
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