However, this manual approach to graphing reaction mechanisms poses significant limitations. First, the representation cost escalates with the number of compounds, challenging the depiction of networks that suffer from combinatorial explosion , which is an increasingly common situation due to the generalization of the use of automated mechanism discovery algorithms . Additionally, unlike reaction paths, these graphs do not visually convey thermodynamic and kinetic information. Alternative and promising methods for automatically encoding reactions with these considerations have been proposed , but they often face constraints that hinder their widespread adoption by the computational chemistry community, such as being tied to specific software, requiring multiple dependencies, or using complex input formats.