Accurate Molecular Property Regression Using Simple Fusion of Complementary Classical and Graph Predictors

Accurate prediction of continuous molecular properties supports chemical discovery and design. Many recent approaches combine multiple molecular representations within increasingly complex neural architectures, aiming to achieve higher accuracy. However, classical machine-learning models remain comp