A descriptor-based model combining category-specific persistent homology with gradient boosting reports higher R2 than transformer baselines on eight MOF gas selectivity datasets, but the comparison uses non-identical datasets.
Zirconium-based metal–organic frameworks for the catalytic hydrolysis of organophosphorus nerve agents
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Category-Specific Topological Learning of Metal-Organic Frameworks
A descriptor-based model combining category-specific persistent homology with gradient boosting reports higher R2 than transformer baselines on eight MOF gas selectivity datasets, but the comparison uses non-identical datasets.