HGGN: Prediction of microRNA-Mediated drug sensitivity based on interpretable heterogeneous graph global-attention network.
Junliang LiuXinbo ZhaoYuran JiaSicong WangTianyi ZhaoPublished in: Future Gener. Comput. Syst. (2024)
Keyphrases
- global information
- prediction accuracy
- heterogeneous networks
- graph representation
- graph theory
- classification rules
- protein interaction
- graph model
- graph mining
- graphical representation
- graph theoretic
- elman network
- small world
- radial basis function network
- fully connected
- directed edges
- random walk
- binding sites
- graph structure
- sensitivity analysis
- computational methods
- communication networks
- random graphs
- computer networks
- directed graph
- graph kernels
- global consistency
- dynamic networks
- clustering coefficient
- chemical compounds
- complex networks
- network structure