MedGAN: optimized generative adversarial network with graph convolutional networks for novel molecule design
Crossref DOI link: https://doi.org/10.1038/s41598-023-50834-6
Published Online: 2024-01-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Macedo, Bruno
Ribeiro Vaz, InĂªs
Taveira Gomes, Tiago
Text and Data Mining valid from 2024-01-12
Version of Record valid from 2024-01-12
Article History
Received: 16 October 2023
Accepted: 26 December 2023
First Online: 12 January 2024
Competing interests
: The authors declare no competing interests.