DSGAT: predicting frequencies of drug side effects by graph attention networks.
Xianyu XuLing YueBingchun LiYing LiuYuan WangWenjuan ZhangLin WangPublished in: Briefings Bioinform. (2022)
Keyphrases
- average degree
- graph representation
- social networks
- complex networks
- fully connected
- network structure
- graph theory
- highly connected
- weighted graph
- network analysis
- edge weights
- random walk
- chemical compounds
- dynamic networks
- graph structures
- small world
- directed acyclic graph
- visual attention
- graph model
- graph structure
- structured data
- directed graph
- social graphs
- community discovery
- betweenness centrality
- network dynamics
- overlapping communities
- directed edges
- drug discovery
- degree distribution
- citation networks
- computer networks
- network size
- graph matching
- protein interaction networks