<div class="csl-bib-body">
<div class="csl-entry">Gerhaher, A. C., Sulpizio, G., Jorner, K., & Heid, E. C. (2025, December 2). <i>CGR-SMILES: A Compact and Universal Sequence Representation for Chemical Reaction Modeling</i> [Poster Presentation]. 20th Women in Machine Learning Workshop (WiML 2025), United States of America (the).</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/222430
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dc.language.iso
en
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dc.subject
cheminformatics
en
dc.subject
ai for science
en
dc.subject
deep learning in chemistry
en
dc.title
CGR-SMILES: A Compact and Universal Sequence Representation for Chemical Reaction Modeling