In this bipartite graph, users and items are represented as nodes, and the interactions of user-item pairs are regarded as edges.
different from typical graph neural networks (Veličković et al., 2017), the input of typical review-based recommender systems is only a user-item pair (two nodes with an edge) rather than the entire user-item graph.