Positional embeddings and zero-shot learning using BERT for molecular-property prediction
Abstract Recently, advancements in cheminformatics such as representation learning for chemical structures, deep learning (DL) for property prediction, data-driven discovery, and optimization of chemical data handling, have led to increased demands for handling chemical simplified molecular input li...
Main Authors: | , , , , |
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格式: | Article |
語言: | English |
出版: |
BMC
2025-02-01
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叢編: | Journal of Cheminformatics |
主題: | |
在線閱讀: | https://doi.org/10.1186/s13321-025-00959-9 |