Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.
Yahui LongYu ZhangMin WuShaoliang PengChee Keong KwohJiawei LuoXiaoli LiPublished in: BIBM (2020)
Keyphrases
- heterogeneous networks
- graph structure
- social networks
- complex networks
- graph structures
- fully connected
- graph theory
- graph model
- graph representation
- small world
- directed edges
- average degree
- overlapping communities
- information transfer
- dynamic networks
- undirected graph
- random graphs
- real world networks
- visual attention
- community discovery
- directed graph
- highly connected
- random walk
- path length
- drug discovery
- graph databases
- graph matching
- network structure
- structured data
- graph layout