Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks.
Yiwei ZouTing LiZongfu LuoPublished in: CoRR (2024)
Keyphrases
- betweenness centrality
- neural network
- complex networks
- overlapping communities
- shortest path
- social networks
- edge weights
- centrality measures
- real world networks
- network analysis
- graph structure
- social network analysis
- small world
- community detection
- graph partitioning
- community discovery
- community structure
- small world networks
- clustering coefficient
- network structure
- path length
- heterogeneous social networks
- degree distribution
- criminal networks
- directed graph
- average degree
- degree centrality
- artificial neural networks
- genetic algorithm
- pattern recognition
- graph theory
- weighted graph
- neural network model
- inductive learning
- undirected graph
- densely connected
- graph representation
- finding the shortest path
- network nodes
- scale free
- citation networks
- multilayer perceptron
- feed forward
- neural network ensemble
- random graphs
- random walk
- graph mining
- structured data
- connected components
- neighboring nodes
- computer networks
- graph structures
- neural nets
- bipartite graph
- fully connected