Fig. 3. Embedding of single-step reactions from ten representative reaction classes projected to a two-dimension space using t-SNE. The embedding was generated by passing the single-step reaction features (product fingerprint and reaction fingerprint) through the trained reaction encoder. Each reaction class contains 600 randomly selected reaction records from the testing dataset. Reaction classes were assigned in the Pistachio database using the NameRxn tool.³³.