Improving Chemical Reaction Prediction with Unlabeled Data

Predicting products of organic chemical reactions is useful in chemical sciences, especially when one or more reactants are new organics. However, the performance of traditional learning models heavily relies on high-quality labeled data. In this work, to utilize unlabeled data for better prediction...

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Detalles Bibliográficos
Autores principales: Xie, Yu, Zhang, Yuyang, Wong, Ka-Chun, Shi, Meixia, Peng, Chengbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506495/
https://www.ncbi.nlm.nih.gov/pubmed/36144703
http://dx.doi.org/10.3390/molecules27185967

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9506495/
https://www.ncbi.nlm.nih.gov/pubmed/36144703
http://dx.doi.org/10.3390/molecules27185967

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