InfGCN: Identifying influential nodes in complex networks with graph convolutional networks.
Gouheng ZhaoPeng JiaAnmin ZhouBing ZhangPublished in: Neurocomputing (2020)
Keyphrases
- complex networks
- social network analysis
- influential nodes
- graph theory
- betweenness centrality
- social networks
- community discovery
- small world
- clustering coefficient
- information diffusion
- network structure
- network analysis
- real world networks
- scale free
- community structure
- community detection
- protein interaction networks
- overlapping communities
- biological networks
- degree distribution
- citation networks
- network evolution
- influence maximization
- functional modules
- social relationships
- random graphs
- scale free networks
- link prediction
- small world networks
- social and information networks
- graph structure
- greedy algorithm
- graph partitioning
- social influence
- graph model
- network motifs
- bipartite graph
- directed graph
- information theoretic concepts
- centrality measures
- path length
- diffusion process
- graph mining
- random walk