Cesare Alippi

Concept Drift and Anomaly Detection in Graph Streams

2018 · IEEE Transactions on Neural Networks and Learning Systems

Graph representations offer powerful and intuitive ways to describe data in a multitude of application domains. Here, we consider stochastic processes generating graphs and propose a methodology for detecting changes in stationarity of such processes. …