
The extensive use of graphs in chemistry to model both reactions and molecules creates challenges for machine learning. Most of the previous and ongoing research in the field solves the problem by translating molecular graphs into forms that fit cleanly within existing paradigms and tools: images; text; and binary fingerprints. Graph representations themselves seem out-of-place at first.