ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation.
Boyu LiTing GuoXingquan ZhuYang WangFang ChenPublished in: ECML/PKDD (4) (2023)
Keyphrases
- directed networks
- heterogeneous social networks
- small world
- average degree
- graph theory
- fully connected
- graph representation
- edge weights
- graph matching
- complex networks
- dynamic networks
- directed graph
- graph structures
- recommender systems
- social networks
- degree distribution
- highly connected
- directed acyclic graph
- network analysis
- graph structure
- community detection
- graph layout
- neural network
- social graphs
- social network analysis
- directed edges
- random walk
- personalized recommendation
- network structure
- network size
- maximum flow
- bayesian networks
- citation networks
- power law
- community discovery
- collaborative filtering
- structured data
- graphical representation
- graph theoretic
- graph partitioning
- network architecture
- graph model
- bipartite graph
- connected components