Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems

arXiv:2304.09097v3 Announce Type: replace-cross
Abstract: Recent advancements in Graph Neural Networks (GNN) have facilitated their widespread adoption in various applications, including recommendation systems. GNNs have proven to be effective in addressing the challenges posed by recommendation systems by efficiently modeling graphs in which nodes represent users or items and edges denote preference relationships. However, current GNN techniques represent nodes by means of a single static vector, which may inadequately capture the intricate complexities of users and items. To overcome these …

arxiv cs.ir cs.lg graph graph-based networks neural networks recommender systems systems type