Transformer-CNN: Fast and Reliable tool for QSAR

Pavel Karpov, Guillaume Godin, Igor V. Tetko

We present SMILES-embeddings derived from the internal encoder state of a Transformer [1] model trained to canonize SMILES as a Seq2Seq problem. Using a CharNN [2] architecture upo…