Graph Attention Collaborative Similarity Embedding for Recommender System

no code implementations • 5 Feb 2021 • Jinbo Song, Chao Chang, Fei Sun, Zhenyang Chen, Guoyong Hu, Peng Jiang

We present Graph Attention Collaborative Similarity Embedding (GACSE), a new recommendation framework that exploits collaborative information in the user-item bipartite graph for representation learning.

Collaborative Filtering Graph Attention +2

NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation

no code implementations • 23 Oct 2020 • Jinbo Song, Chao Chang, Fei Sun, Xinbo Song, Peng Jiang

To modeling the implicit correlations of neighbors in graph embedding aggregating, we propose a Neighbor-Aware Graph Attention Network for recommendation task, termed NGAT4Rec.

Collaborative Filtering Graph Attention +2