MD-GCCF: Multi-view deep graph contrastive learning for collaborative filtering

Xinlu Li, Yujie Tian, Bingbing Dong, Shengwei Ji

Abstract: Highlights•The GNN module learns potential intent representations between neighboring users.•The comparative learning module explores structural and semantic features of signals.•MD-GCCF aggregates deep graph collaborative signals and enhances their diversity.•Experiments demonstrate the effectiveness of MD-GCCF on three datasets.