Multilingual Molecular Representation Learning via Contrastive Pre-training

@inproceedings{Guo2021MultilingualMR,
  title={Multilingual Molecular Representation Learning via Contrastive Pre-training},
  author={Zhihui Guo and Pramod Kumar Sharma and Andy Martinez and Liang Du and Robin Abraham},
  booktitle={Annual Meeting of the Association for Computational Linguistics},
  year={2021}
}
Molecular representation learning plays an essential role in cheminformatics. Recently, language model-based approaches have gained popularity as an alternative to traditional expert-designed features to encode molecules. However, these approaches only utilize a single molecular language for representation learning. Motivated by the fact that a given molecule can be described using different languages such as Simplified Molecular Line Entry System (SMILES), The International Union of Pure and… 

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