A Versatile Transformer-based Variational Autoencoder for Generating Novel Molecular Structures

The proposed Transformer-based Variational Autoencoder (VAE) model demonstrates state-of-the-art performance in generating novel molecular structures that are not present in the training dataset, while maintaining high validity and uniqueness of the generated molecules.