Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling

Simone Piaggesi, André Panisson

Representation learning models for graphs are a successful family of techniques that project nodes into feature spaces that can be exploited by other machine learning algorithms. S…