Multi-Level Anomaly Detection on Time-Varying Graph Data

no code implementations • 16 Oct 2014 • Robert A. Bridges, John Collins, Erik M. Ferragut, Jason Laska, Blair D. Sullivan

This work presents a novel modeling and analysis framework for graph sequences which addresses the challenge of detecting and contextualizing anomalies in labelled, streaming graph data.

Graph Anomaly Detection