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Lorenzo Di Fruscia

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#machine learning Preprint Aug 2026

Structural Hierarchy and Geometry in Molecular Representation Learning

Results show that explicitly teaching the relation between a molecule and its structural core can reliably shape the organization of molecular embedding space, while the extent of usefulness of this organization remains task dependent.

David Sulu, Lorenzo Di Fruscia, Jana M. Weber · 0 citations

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