RXNGraphormer toont reproduceerbaarheid, maar stuit op grenzen bij complexe datasets

Researchers independently verified that RXNGraphormer, a machine learning model for predicting chemical reactions, performs reliably across different datasets and tasks. However, the study identified weaknesses when the model encounters unfamiliar data patterns or heterogeneous conditions, suggesting practical limitations for real-world applications.