Disease Risk Prediction via Heterogeneous Graph Attention Networks.
Zhe QuLizhen CuiYonghui XuPublished in: BIBM (2022)
Keyphrases
- average degree
- prediction accuracy
- heterogeneous networks
- edge weights
- citation networks
- dynamic networks
- prediction model
- graph representation
- social networks
- neural network ensemble
- graph theoretic
- graph model
- graph theory
- bipartite graph
- structured data
- graph layout
- highly connected
- social graphs
- random walk
- protein function prediction
- overlapping communities
- prediction algorithm
- network analysis
- community discovery
- network structure
- network size
- fully connected
- structural patterns
- connected components
- directed graph
- network design
- computer networks
- directed edges
- graph structures
- path length
- neural network
- directed acyclic graph
- weighted graph
- link formation