Information-theoretic multi-scale geometric pre-training for enhanced molecular property prediction.
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| Title: | Information-theoretic multi-scale geometric pre-training for enhanced molecular property prediction. |
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| Authors: | Hu X; Department of Chemical Engineering and Materials Science, Stevens Institute of Technology, Hoboken, New Jersey, United States of America., Zhao X; Stevens Institute of Technology, Hoboken, New Jersey, United States of America., Wang J; Duke University, Durham, North Carolina, United States of America., Yang Y; University of Southern California, Los Angeles, California, United States of America. |
| Source: | PloS one [PLoS One] 2025 Oct 06; Vol. 20 (10), pp. e0332640. Date of Electronic Publication: 2025 Oct 06 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0332640 |
