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