STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems.
Jiani ZhangXingjian ShiShenglin ZhaoIrwin KingPublished in: IJCAI (2019)
Keyphrases
- recommender systems
- collaborative filtering
- average degree
- social networks
- random walk
- graph theory
- fully connected
- small world
- graph matching
- graph representation
- edge weights
- graph structure
- dynamic networks
- highly connected
- graph layout
- path length
- community discovery
- overlapping communities
- user modeling
- directed edges
- weighted graph
- matrix factorization
- graph theoretic
- user profiling
- directed graph
- sparse coding
- neural network
- semi supervised
- shortest path
- user preferences
- betweenness centrality
- network structure
- connected components
- spanning tree
- graph structures
- graph mining
- graph model