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DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules

Crossref DOI link: https://doi.org/10.1038/s41524-024-01444-x

Published Online: 2024-12-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Du, Hongwei

Wang, Jiamin

Hui, Jian

Zhang, Lanting https://orcid.org/0000-0003-2547-1952
Wang, Hong https://orcid.org/0000-0003-1986-512X
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Text and Data Mining valid from 2024-12-19

Version of Record valid from 2024-12-19
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Article History

Received: 27 March 2024

Accepted: 21 October 2024

First Online: 19 December 2024

Competing interests

: The authors declare no competing interests.