Dual graph convolutional neural network for predicting chemical networks
Abstract
Predicting of chemical compounds is one of the fundamental tasks in bioinformatics and chemoinformatics, because it contributes to various applications in metabolic engineering and drug discovery. The recent rapid growth of the amount of available data has enabled applications of computational approaches such as statistical modeling and machine learning method. Both a set of chemical interactions and chemical compound structures are represented...
Paper Details
Title
Dual graph convolutional neural network for predicting chemical networks
Published Date
Apr 1, 2020
Journal
Volume
21
Issue
S3
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