Graph Neural Networks for Recommendation: Reproducibility, Graph Topology, and Node Representation

Daniele Malitesta, Claudio Pomo, Tommaso Di Noia

Graph neural networks (GNNs) have gained prominence in recommendation systems in recent years. By representing the user-item matrix as a bipartite and undirected graph, GNNs have d…