LightGCN: Simplifying and Powering Graph Convolution Network for
Recommendation

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

6 February 2020

Meng Wang

Papers citing "LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation"

4 / 254 papers shown

Title
InstantEmbedding: Efficient Local Node Representations Stefan Postavaru Anton Tsitsulin Filipe Almeida Yingtao Tian Silvio Lattanzi Bryan Perozzi 12 20 0 14 Oct 2020
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network Cheng Zhao Chenliang Li Rong Xiao Hongbo Deng Aixin Sun LRM 16 174 0 21 May 2020
A Generic Network Compression Framework for Sequential Recommender Systems Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhou Zhao Duo Liu 9 54 0 21 Apr 2020
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation Xiao Sha Zhu Sun Jie Zhang 30 63 0 18 Oct 2019