INTransformer: Data augmentation-based contrastive learning by injecting noise into transformer for molecular property prediction-Reference-Cited by-同舟云学术

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INTransformer: Data augmentation-based contrastive learning by injecting noise into transformer for molecular property prediction

Published:2024-05 Issue: Volume:128 Page:108703
ISSN:1093-3263
Container-title:Journal of Molecular Graphics and Modelling
language:en
Short-container-title:Journal of Molecular Graphics and Modelling

Author:

Jiang Jing^ORCID,Li Yachao,Zhang Ruisheng,Liu Yunwu

Publisher

Elsevier BV

Reference68 articles.

1. Low data drug discovery with one-shot learning;Altae-Tran;ACS Central Sci.,2017

2. Representation of molecules for drug response prediction;An;Brief. Bioinform.,2022

3. Molecular substructure graph attention network for molecular property identification in drug discovery;Ye;Pattern Recognit.,2022

4. Machine learning for molecular and materials science;Butler;Nature,2018

5. A general optimization protocol for molecular property prediction using a deep learning network;Chen;Brief. Bioinform.,2022

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