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CalibHyper: Chance-Corrected Relational Hypergraphs for Few-Shot Molecular Property Prediction

Li, Linyu et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Molecular property prediction is central to drug development and materials discovery, but experiments are costly and labeled data are scarce. Context-aware methods use auxiliary assay labels to support few-shot prediction, and recent work supervises property relations with label agreement. However,
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