By modeling reactions as electron rearrangements instead of molecular graph edits, MAELLE achieves competitive accuracy while naturally explaining reaction mechanisms and maintaining robustness on out-of-distribution chemistry.
This paper presents MAELLE, a machine learning model that predicts chemical reactions by tracking how electrons move between atoms, rather than just predicting final products.