Representation Learning on Networks

Representation Learning on Networks

Tutorial information Researchers in network science have traditionally relied on user-defined heu...概要を表示 Tutorial information Researchers in network science have traditionally relied on user-defined heuristics to extract features from complex networks (e.g., degree statistics or kernel functions). However, recent years have seen a surge in approaches that automatically learn to encode network structure into low-dimensional embeddings, using techniques based on deep learning and nonlinear dimensionali