1 code implementation • 12 Nov 2019 • Shion Honda, Shoi Shi, Hiroki R. Ueda
Inspired by Transformer and pre-trained language models from natural language processing, SMILES Transformer learns molecular fingerprints through unsupervised pre-training of the sequence-to-sequence language model using a huge corpus of SMILES, a text representation system for molecules.