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Tag: #protoglad1 results

ProtoGLAD Enables Interpretable Graph Anomalies

ProtoGLAD Enables Interpretable Graph Anomalies

ProtoGLAD detects graph-level anomalies by contrasting with nearest normal prototype graphs discovered via point-set kernels. It iteratively clusters normal graphs for unsupervised detection. Provides human-interpretable explanations outperforming black-box methods.

ArXiv AIResearchFeb 12#research#protoglad#v1