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Open access Aug 2026

Toward Imbalanced Molecular Property Regression: A Benchmark Study and Interval-Aware Mixture of Experts

Molecular property prediction is a key task in AI-driven drug discovery, yet the prevalence and impact of label imbalances in molecular property regression remain poorly understood. Through a systematic benchmark of widely used molecular property data sets, we show that target values are often highly imbalanced and tha...

Y. Sun, Yu Shi, Alana Deng et al. · 0 citations

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