FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction

Research article (Briefings in Bioinformatics, 2023) · cited 42× · AI/ML
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FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction

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FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/fg-bert-a-generalized-and-self-supervised-functional-group-based-molecular-representation-learning-framework-for-propert
MLA “FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fg-bert-a-generalized-and-self-supervised-functional-group-based-molecular-representation-learning-framework-for-propert.
BibTeX @misc{4ortxyz_fg-bert-a-generalized-and-self-supervised-functional-group-based-molecular-representation-learning-framework-for-propert_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FG-BERT: a generalized and self-supervised functional group-based molecular representation learning framework for properties prediction}}, year = {2026}, url = {https://4ort.xyz/entity/fg-bert-a-generalized-and-self-supervised-functional-group-based-molecular-representation-learning-framework-for-propert}, note = {Accessed: 2026-05-24}}
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