Variational autoencoder is one of the computer-aided design methods which explores the chemical space based on an existing molecular dataset. Quantum machine learning has emerged as an atypical ...

As a good generative model, the variational autoencoder (VAE) extracts the noise-free robust features from the latent space that lead to better classification performance. The spatial attention-based ...