On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data
Crossref DOI link: https://doi.org/10.1186/s13321-023-00781-1
Published Online: 2023-11-21
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Handa, Koichi
Thomas, Morgan C.
Kageyama, Michiharu
Iijima, Takeshi
Bender, Andreas
Text and Data Mining valid from 2023-11-21
Version of Record valid from 2023-11-21
Article History
Received: 6 July 2023
Accepted: 10 November 2023
First Online: 21 November 2023
Declarations
:
: The authors declare no competing interests.