A general QSPR protocol for the prediction of atomic/inter-atomic properties: a fragment based graph convolutional neural network (F-GCN)
Volume: 23, Issue: 23, Pages: 13242 - 13249
Published: Jan 1, 2021
Abstract
This study proposed a fragment-based graph convolutional neural network (F-GCN) that can predict atomic and inter-atomic properties and is suitable for few-shot...
Paper Details
Title
A general QSPR protocol for the prediction of atomic/inter-atomic properties: a fragment based graph convolutional neural network (F-GCN)
Published Date
Jan 1, 2021
Volume
23
Issue
23
Pages
13242 - 13249
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