Dongyu Pei

CCLRec: Consensus-driven Contrastive Learning for LLM-enhanced Graph Recommendation

Recommendation systems seek to accurately model user preferences from a large set of candidate items. Graph neural networks (GNNs) have emerged as a dominant approach in this domain due to their ability to capture high-order user–item interactions. Recent efforts have aimed to enhance GNN-based repr…