However, current multibehavior recommendation methods simply concatenate different behavior representations without further exploring the interactive information between behaviors, thus limiting ...

Graph Neural Networks (GNNs) have demonstrated their effectiveness in recommender systems. As a paradigm of self-supervised learning, the core of graph contrastive learning is to train the model by ...

Point-of-Interest (POI) recommendation is crucial in the recommendation system field. Graph neural networks are used for POI recommendations, but data sparsity affects GNN training. Existing GNN ...