Centrality-based and similarity-based neighborhood extension in graph neural networks.
Mohammadjavad ZohrabiSaeed SaravaniMostafa Haghir ChehreghaniPublished in: J. Supercomput. (2024)
Keyphrases
- neural network
- neighborhood graph
- pattern recognition
- graph connectivity
- social network analysis
- neighborhood structure
- graph theory
- weighted graph
- graph structure
- minimal spanning tree
- graph representation
- directed graph
- neural network model
- graph matching
- social networks
- graph structures
- random walk
- back propagation
- connected components
- graph databases
- spanning tree
- graph model
- fault diagnosis
- bipartite graph
- manifold learning
- random graphs
- genetic algorithm
- multilayer perceptron
- betweenness centrality
- neighborhood information
- artificial neural networks
- graph laplacian
- associative memory
- fuzzy systems
- graph data
- graph theoretic
- undirected graph
- structured data
- network analysis
- directed acyclic graph