Chikashige Yamanaka

Transformer-based Objective-reinforced Generative Adversarial Network to Generate Desired Molecules

Deep generative models of sequence-structure data have attracted widespread attention in drug discovery. However, such models cannot fully extract the semantic features of molecules from sequential representations. Moreover, mode collapse reduces the diversity of the generated molecules. This paper…