Other molecule augmentation strategies exist, e.g., by calculating molecular descriptors on molecular fragments obtained by pre-defined decomposition rules , or by adding noise (mask, swap, deletion, and fusion) to existing SMILES strings . These strategies have, however, found limited application to date. Advances from the deep learning domain might help further boosting the performance in low data scenarios, e.g., for SMILES augmentation .