Unsupervised Embedding Learning for Large-Scale Heterogeneous Networks Based on Metapath Graph Sampling
How to learn the embedding vectors of nodes in unsupervised large-scale heterogeneous networks is a key problem in heterogeneous network embedding research.This paper proposes an unsupervised embedding learning model, named LHGI (Large-scale Heterogeneous Graph Infomax).LHGI adopts click here the subgraph sampling technology under the guidance of m