• Corpus ID: 235458110

Do Large Scale Molecular Language Representations Capture Important Structural Information?

@article{Ross2021DoLS,
  title={Do Large Scale Molecular Language Representations Capture Important Structural Information?},
  author={Jerret Ross and Brian M. Belgodere and Vijil Chenthamarakshan and Inkit Padhi and Youssef Mroueh and Payel Das},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.09553}
}
Predicting chemical properties from the structure of a molecule is of great importance in many applications including drug discovery and material design. Machine learning based molecular property prediction holds the promise of enabling accurate predictions at much less complexity, when compared to, for example Density Functional Theory (DFT) calculations. Features extracted from molecular graphs, using graph neural nets in a supervised manner, have emerged as strong baselines for such tasks… 
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