Addiction-related brain networks identification via Graph Diffusion Reconstruction Network.
Changhong JingHongzhi KuaiHiroki MatsumotoTomoharu YamaguchiIman Yi LiaoShuqiang WangPublished in: Brain Informatics (2024)
Keyphrases
- network structure
- information diffusion
- fully connected
- dynamic networks
- complex networks
- network size
- sparsely connected
- network model
- small world
- average degree
- network parameters
- community structure
- overlapping communities
- social networks
- network design
- degree distribution
- network topologies
- highly connected
- network dynamics
- link formation
- computer networks
- graph theory
- scale free
- real world networks
- diffusion process
- clustering coefficient
- citation networks
- community discovery
- path length
- information propagation
- protein interaction networks
- heterogeneous networks
- directed edges
- diffusion mri
- network resources
- network analysis
- transport network
- network properties
- heterogeneous social networks
- diffusion weighted mri
- functional modules
- edge weights
- link prediction
- peer to peer
- random walk
- real world social networks
- bipartite graph
- anisotropic diffusion
- random graphs
- graphical representation
- brain connectivity
- graph mining
- spanning tree
- brain white matter
- biological networks
- human brain
- online social networks
- social network analysis
- spiking neural networks