A Graph Convolutional Neural Network for Recommendation Based on Community Detection and Combination of Multiple Heterogeneous Graphs.
Caihong MuHeyuan HuangYunfei FangYi LiuPublished in: ICDM (2023)
Keyphrases
- community detection
- graph clustering
- graph mining
- real world graphs
- massive graphs
- convolutional neural network
- complex networks
- hyper graph
- graph theory
- densely connected
- social networks
- graph databases
- label propagation
- overlapping communities
- real world social networks
- community discovery
- real world networks
- community structure
- graph data
- network analysis
- graph structure
- weighted graph
- community detection algorithms
- undirected graph
- spanning tree
- information networks
- adjacency matrix
- directed graph
- label propagation algorithm
- graph theoretic
- connected components
- graph partitioning
- link prediction
- neural network
- semi supervised learning
- social graph
- citation networks
- graph model
- biological networks
- face detection
- multiple types
- semi supervised
- data analysis
- computer vision
- community formation
- edge weights