Interest-Aware Contrastive-Learning-Based GCN for Recommendation
Graph convolutional networks (GCNs) Light Brackets have shown great potential in recommender systems.GCN models contain multiple layers of graph convolutions to exploit signals from higher-order neighbors.In each graph convolution, the embedding of a user or item is influenced by its directly connected neighbors.Some of the main problems with this