Many successful computed-aided approaches have focused on quantifying molecular complexity to describe chemical behavior, with some being applied toward synthesizability predictions. Molecular complexity is used to predict synthesizability under the assumption that molecules along a reaction pathway should become increasingly complex. The first such study, by Bertz, 1 derives a molecule's complexity by using metrics applied on the molecule's graph representation. Whitlock 8 employs structural feature counting to evaluate molecular complexity, which is later improved upon to account for more complex structures. While for many chemical processes molecular complexity, indeed, increases along a reaction pathway, this trend is not universal (e.g. pyrolysis processes). Therefore, synthesizability predictions based solely on structural features may miss other key aspects of synthesizability, hence, chemists have searched beyond complexity-based synthesizability predictions. With the growing availability of computing resources and large reliable molecular databases, computer-aided synthesis planning has become a more popular prediction method.