Zeqian Li

Multi-Scale Contrastive Learning Based Heterogeneous Graph Embedding

2023

Recently, heterogeneous graph contrastive learning has been widely explored as a self-supervised solution for heterogeneous information network embedding. However, based on contrastive learning, most existing graph expansion proposals fail to extract heterogeneous information adequately, and …