Do Large Scale Molecular Language Representations Capture Important Structural Information?
By Jerret Ross, Brian M. Belgodere, Vijil Chenthamarakshan, Inkit Padhi, Youssef Mroueh, Payel Das. 2021
13 citations recorded by the source corpus.
Subfields: Representation & Self-Supervised Learning, Computational Chemistry & Drug Discovery
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In Representation & Self-Supervised Learning
Citations in the corpus
- Galactica: A Large Language Model for Science (2022, methodology): “In recent years, deep learning has been used to represent Nature, such as proteins and molecules (Jumper et al., 2021; Ross et al., 2021).”