STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems.
Jiani ZhangXingjian ShiShenglin ZhaoIrwin KingPublished in: CoRR (2019)
Keyphrases
- recommender systems
- collaborative filtering
- average degree
- random walk
- graph model
- edge weights
- small world
- network structure
- complex networks
- dynamic networks
- weighted graph
- fully connected
- structured data
- social networks
- user modeling
- graph databases
- directed graph
- graph structures
- graph theoretic
- graph structure
- user profiling
- overlapping communities
- graph theory
- matrix factorization
- graph matching
- neural network
- product recommendation
- social graphs
- trust aware
- graph layout
- random graphs
- path length
- information overload
- graph mining
- network analysis
- bipartite graph
- user preferences
- learning algorithm