Heterogeneous Graph Contrastive Learning for Recommendation

1 code implementation • 2 Mar 2023 • Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo

In light of this, we propose a Heterogeneous Graph Contrastive Learning (HGCL), which is able to incorporate heterogeneous relational semantics into the user-item interaction modeling with contrastive learning-enhanced knowledge transfer across different views.

Contrastive Learning Recommendation Systems +3