Cross-Branch Contrastive Learning Algorithm in Heterogeneous Networks
Heterogeneous information networks (HINs) provide a flexible graph representation for relational data with different entity and relation types. Such heterogeneity enriches semantic modeling, but also increases the difficulty of representation learning. Existing heterogeneous graph neural networks have achieved promisin...