Digraphwave: Scalable Extraction of Structural Node Embeddings via Diffusion on Directed Graphs

no code implementations • 20 Jul 2022 • Ciwan Ceylan, Kambiz Ghoorchian, Danica Kragic

Structural node embeddings, vectors capturing local connectivity information for each node in a graph, have many applications in data mining and machine learning, e. g., network alignment and node classification, clustering and anomaly detection.

Anomaly Detection Node Classification