The topology of molecular representations and its influence on machine learning performance

Abstract Advancements in cheminformatics have led to numerous methods for encoding molecules numerically. The choice of molecular representation impacts the accuracy and generalizability of learning algorithms applied to chemical datasets. Designing and selecting the appropriate representation often...

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Bibliographic Details
Main Authors: Florian Rottach, Sebastian Schieferdecker, Carsten Eickhoff
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Journal of Cheminformatics
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Online Access:https://doi.org/10.1186/s13321-025-01045-w
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