Xu-Xing Zhao

Uncertainty-Guided Adaptive Local Adversarial Perturbation for Reliable Molecular Property Prediction

This work proposes an uncertainty-guided framework that integrates adaptive local adversarial perturbation with evidential deep learning for reliable molecular property prediction and introduces an evidential calibration strategy that aligns uncertainty with the prediction discrepancy between clean and adversarial mole...