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Found 3 papers, 2 papers with code
SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery
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.
VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss
Generating a virtual try-on image from in-shop clothing images and a model person's snapshot is a challenging task because the human body and clothes have high flexibility in their shapes.
Graph Residual Flow for Molecular Graph Generation
Statistical generative models for molecular graphs attract attention from many researchers from the fields of bio- and chemo-informatics.
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