Graph Convolutional Embeddings for Recommender Systems

no code implementations • 5 Mar 2021 • Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis

In this work, we generalize the use of GCNs for N-partite graphs by considering N multiple context dimensions and propose a simple way for their seamless integration in modern deep learning RS architectures.

Collaborative Filtering Recommendation Systems