Graph Neural Network Models for Chemical Compound Activeness Prediction For COVID-19 Drugs Discovery using Lipinski's Descriptors.
Medard Edmund MswahiliJunha HwangYoung-Seob JeongYoungJin KimPublished in: AI4I (2022)
Keyphrases
- neural network model
- neural network
- drug discovery
- multi layer perceptron
- drug design
- radial basis function network
- artificial neural networks
- forecasting accuracy
- prediction model
- prediction accuracy
- neural models
- multilayer perceptron
- chemical compounds
- bp neural network
- shape descriptors
- weighted graph
- random walk
- directed graph
- input variables
- human immunodeficiency virus
- directed acyclic graph
- network architecture
- keypoints
- rbf neural network
- community discovery
- graph data
- graph databases
- gaussian processes
- radial basis function
- regression model
- image retrieval