Application of generative adversarial networks (GAN) and reinforcement learning in drug classification

Abstract MolGAN is a generative adversarial network (GAN) model specially designed for molecular graph structures. It uses a graph convolutional network (GCN) as the discriminator and combines a reinforcement learning mechanism to optimize the generator. The model can efficiently process molecular g...

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Detalhes bibliográficos

Principais autores:	Ling Qiu, Jingnian He, Xiongbo Huang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Springer 2026-02-01
coleção:	Discover Computing
Assuntos:	MolGAN Graph convolutional network (GCN) Generative adversarial network (GAN) Classification performance Bioactivity-related indicators
Acesso em linha:	https://doi.org/10.1007/s10791-026-09957-3
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