Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.
Linhao LuoYixiang FangXin CaoXiaofeng ZhangWenjie ZhangPublished in: CoRR (2021)
Keyphrases
- neural network model
- neural network
- graph theory
- graph representation
- community discovery
- graph matching
- series parallel
- graph structure
- directed graph
- graph mining
- graph theoretic
- artificial neural networks
- graph databases
- weighted graph
- labeled graphs
- graph model
- graph partitioning
- graph construction
- adjacency matrix
- random graphs
- graph search
- social graphs
- small world
- graph clustering
- rbf neural network
- subgraph isomorphism
- back propagation neural network
- graph theoretical
- graph structures
- social networks
- graph properties
- graph data
- community detection
- social network analysis
- bipartite graph
- neural models
- dynamic graph
- random walk
- graph classification
- multilayer perceptron
- graph patterns
- graph representations
- link prediction
- complex networks
- maximum clique
- network architecture
- maximal cliques
- web graph
- real world social networks