Papers by Pramod Sharma
Multilingual Molecular Representation Learning via Contrastive Pre-training (2022.acl-long)
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| Challenge: | Molecular representation learning is an essential role in cheminformatics, but language model-based approaches focus on local features, hence they may not capture global information. |
| Approach: | They propose a multilingual molecular embedding generation approach that uses two different languages to train a given molecule. |
| Outcome: | The proposed approach is pre-trained using SMILES and IUPAC as two different languages on large-scale molecules. |