Graph-Based Anomaly Detection

This workshop introduces participants to the fundamentals and practical techniques of graph anomaly detection. Blending conceptual overviews with a hands-on lab, the session teaches how to represent real-world systems as graphs, engineer meaningful features, and apply a range of detection methods to identify unusual nodes, edges, or communities. We will provide a concise overview of modern GAD methods, categorized into the following families: Traditional Methods, Embedding-Based Methods, and Graph Neural Network (GNN).