A graph contrastive learning recommendation algorithm based on variational inference
Recommender systems are essential tools for alleviating information overload by providing personalized suggestions to users. Graph neural networks (GNNs), capable of capturing complex node relationships and higher-order interactions, have emerged as a prominent research direction in recommendation tasks. In this work,...