Identifying critical nodes in complex networks via graph convolutional networks.
Enyu YuYue-Ping WangYan FuDuan-Bing ChenMei XiePublished in: Knowl. Based Syst. (2020)
Keyphrases
- complex networks
- betweenness centrality
- small world
- undirected graph
- network structure
- real world networks
- overlapping communities
- graph theory
- community detection
- community structure
- community discovery
- scale free
- scale free networks
- network analysis
- small world networks
- social networks
- average degree
- social network analysis
- clustering coefficient
- random graphs
- protein interaction networks
- functional modules
- network topology
- directed graph
- path length
- graph structure
- biological networks
- network evolution
- online social networks
- link prediction
- real world graphs
- information networks
- citation networks
- degree distribution
- edge weights
- community detection algorithms
- densely connected
- fully connected
- weighted graph
- degree centrality
- social and information networks
- community mining
- centrality measures
- graph theoretic
- shortest path