LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.
Xiangnan HeKuan DengXiang WangYan LiYong-Dong ZhangMeng WangPublished in: SIGIR (2020)
Keyphrases
- dynamic networks
- spanning tree
- recommender systems
- random graphs
- network structure
- complex networks
- graphical representation
- fully connected
- collaborative filtering
- random walk
- structured data
- computer networks
- sparsely connected
- information propagation
- heterogeneous social networks
- directed edges
- overlapping communities
- clustering coefficient
- bayesian networks
- network size
- scale free
- small world
- information diffusion
- undirected graph
- peer to peer
- directed acyclic graph
- graph theory
- link prediction
- communication networks
- community structure
- network traffic