Graph Diffusion Reconstruction Network for Addictive Brain-Networks Identification.
Changhong JingChangwei GongZuxin ChenShuqiang WangPublished in: BI (2023)
Keyphrases
- network structure
- information diffusion
- dynamic networks
- small world
- sparsely connected
- complex networks
- network size
- fully connected
- network parameters
- network model
- network design
- highly connected
- network topologies
- overlapping communities
- diffusion process
- link formation
- social networks
- degree distribution
- average degree
- computer networks
- citation networks
- directed edges
- network dynamics
- scale free
- diffusion mri
- information propagation
- community structure
- network resources
- real world networks
- protein interaction networks
- random graphs
- graph theory
- clustering coefficient
- spanning tree
- spiking neural networks
- real world social networks
- community discovery
- path length
- heterogeneous social networks
- network analysis
- link prediction
- social network analysis
- heterogeneous networks
- cellular networks
- graph mining
- directed graph
- densely connected
- transport network
- diffusion weighted mri
- graph mining algorithms
- centrality measures
- power law
- edge weights
- community detection
- peer to peer
- brain white matter
- network properties
- random walk