Xinxiao Qiao

Lorentzian Graph Convolution Networks for Collaborative Filtering

2023

Recently, recommendation methods based on graph convolutional networks (GCNs) have received much attention and have shown competitive performance. These methods usually perform graph convolutions of user and item embeddings in Euclidean space. However, user-item interaction …