ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities

Mario Heidrich, Jeffrey Heidemann, Rüdiger Buchkremer +1

Node embedding refers to techniques that generate low-dimensional vector representations of nodes in a graph while preserving specific properties of the nodes. A key challenge in t…