2025
Learning Repetition-Invariant Representations for Polymer Informatics
NeurIPS 2025poster
Polymers are large macromolecules composed of repeating structural units known as monomers and are widely applied in fields such as energy storage, construction, medicine, and aerospace. However, existing graph neural network methods, though effective for small molecules, only model the single unit…