Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks.
Jiahao LiuGuixiang MaFei JiangChun-Ta LuPhilip S. YuAnn B. RaginPublished in: IEEE BigData (2019)
Keyphrases
- community discovery
- overlapping communities
- structural patterns
- community structure
- resting state fmri
- community detection
- citation networks
- functional connectivity
- brain connectivity
- complex networks
- small world
- graph theory
- graph embedding
- social network analysis
- real world networks
- graph model
- brain regions
- social networks
- functional properties
- structural information
- information networks
- graph structures
- graph mining
- weighted graph
- human brain
- average degree
- densely connected
- biological networks
- brain images
- network analysis
- graph structure
- directed graph
- edge weights
- spanning tree
- degree distribution
- network structure
- random walk
- protein interaction networks
- nodes of a graph
- graph layout
- structured data
- vector space
- betweenness centrality
- fourier transform
- directed acyclic graph
- graph databases