Yang-Chen Xu

HGCRec: A Heterogeneous Graph Contrastive Learning Framework for Cold-Start Multi-Modal Recommendation in Intelligent Information Systems

Heterogeneous Graph Contrastive Recommendation is proposed, a heterogeneous graph contrastive learning framework for cold-start multi-modal recommendation that consistently outperforms representative graph-based and multi-modal recommendation baselines.