ARES: Anomaly Recognition Model For Edge Streams

ARES introduces a Graph Neural Network architecture for unsupervised anomaly detection in dynamic edge streams, leveraging Half-Space Trees for real-time iso...

Level: advanced

By Simone Mungari, Albert Bifet, Giuseppe Manco, Bernhard Pfahringer

Category: research