Investigating the reliability and interpretability of machine learning frameworks for chemical retrosynthesis

Abstract

Machine learning models for chemical retrosynthesis have attracted substantial interest in recent years. Unaddressed challenges, particularly the absence of robust evaluation metrics for performance comparison, and the lack of black-box...