Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model.
Linhao LuoYixiang FangXin CaoXiaofeng ZhangWenjie ZhangPublished in: CIKM (2021)
Keyphrases
- neural network model
- neural network
- graph representation
- artificial neural networks
- graph theory
- community discovery
- graph matching
- directed graph
- small world
- graph databases
- graph theoretic
- graph model
- weighted graph
- graph partitioning
- graph classification
- graph structure
- subgraph isomorphism
- adjacency matrix
- graph data
- graph mining
- bp neural network
- graph construction
- graph properties
- neural models
- reachability queries
- social graphs
- graph clustering
- random graphs
- graph kernels
- network architecture
- graph search
- graph structures
- back propagation neural network
- rbf neural network
- bipartite graph
- multilayer perceptron
- labeled graphs
- series parallel
- finding the shortest path
- real world social networks
- densely connected
- planar graphs
- graph theoretical
- graph isomorphism
- undirected graph
- polynomial time complexity
- spanning tree
- data analysis
- social networks
- dynamic characteristics
- graph representations
- maximal cliques
- dynamic graph
- complex networks