where D and F are 512x512 learnable matrices and d and f are 512x1 bias vectors. At this stage there are a variable number of node and edge features depending on the size and topology of the reactant and product graphs. A fixed size 1024x1 reaction fingerprint, FP, that is invariant to the absolute atomic numbering is obtained sum pooling the reaction node and edge features and concatenating the result