A path-based boosting algorithm for exploring transition metal compounds
Statistical Modelling: An International Journal
Published online on January 29, 2026
Abstract
Statistical Modelling, Ahead of Print.
Motivated by the analysis of chemical metal compounds and their properties for catalysis, we developed a gradient boosting model that explores graph structures to perform prediction tasks. Taking advantage of the iterative nature of boosting, our novel ...
Motivated by the analysis of chemical metal compounds and their properties for catalysis, we developed a gradient boosting model that explores graph structures to perform prediction tasks. Taking advantage of the iterative nature of boosting, our novel ...