Attention-deficit/hyperactivity disorder prediction using graph convolutional networks.
Seyed Saman SaboksayrJohn J. FoxeAxel WismüllerPublished in: Medical Imaging: Computer-Aided Diagnosis (2020)
Keyphrases
- attention deficit hyperactivity disorder
- prediction accuracy
- neural network ensemble
- community discovery
- highly connected
- average degree
- prediction model
- graph structures
- weighted graph
- prediction algorithm
- overlapping communities
- fully connected
- graph representation
- small world
- complex networks
- edge weights
- graph theoretic
- protein function prediction
- dynamic networks
- degree distribution
- random walk
- random graphs
- graph structure
- path length
- undirected graph
- citation networks
- structural patterns
- spanning tree
- network architecture
- graph model
- human brain
- directed graph
- graph layout
- network structure