LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.
Xiangnan HeKuan DengXiang WangYan LiYongdong ZhangMeng WangPublished in: CoRR (2020)
Keyphrases
- wireless sensor networks
- network model
- heterogeneous social networks
- fully connected
- small world
- collaborative filtering
- peer to peer
- network structure
- network traffic
- directed graph
- individual user
- random graphs
- graph representation
- spanning tree
- graph theoretic
- graph model
- neural network
- graph structure
- computer networks
- graphical models
- graph mining
- graphical representation
- link prediction
- website
- strongly connected
- sparsely connected
- image processing