DDI-GCN: Drug-drug interaction prediction via explainable graph convolutional networks.
Yi ZhongHoubing ZhengXiaoming ChenYu ZhaoTingfang GaoHuiqun DongHeng LuoZuquan WengPublished in: Artif. Intell. Medicine (2023)
Keyphrases
- drug design
- chemical compounds
- drug discovery
- social networks
- graph theory
- random walk
- physico chemical
- graph structure
- prediction accuracy
- graph representation
- human computer interaction
- graph theoretic
- small world
- random graphs
- graph matching
- prediction model
- network analysis
- prediction error
- biological networks
- protein interaction
- community discovery
- network structure
- betweenness centrality
- pharmaceutical industry