Anomali detection for graph-based data
Anomali detection is the identification of data that differs significantly from established norms, which may indicate damage activity. It is a particularly tough challenge in the case of graph -based data, where anomalid detection is not only based on data values, but on topological conditions with the graph. Becuse anomalies tend to be rare, it … Read more