Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis

Vito Walter Anelli, Daniele Malitesta, Claudio Pomo +3

The success of graph neural network-based models (GNNs) has significantly advanced recommender systems by effectively modeling users and items as a bipartite, undirected graph. How…