Abstract: Aiming at the problem that existing knowledge graph-based recommendation algorithms do not fully utilize the interaction information between users and items, this paper proposes a ...

Abstract: In this study, we proposed a new method combining graph sampling aggregation network (GraphSAGE), Contrastive Learning (CL) and Bayesian Optimization. First, GraphSAGE was used to model the ...