This dataset contains graphs with around XXXXXXXXXXvertices and edges, which is pretty small compared to most metabolic network graphs. Given this knowledge and what you know about frequent subgraph...

This dataset contains graphs with around 100-200 vertices and edges, which is pretty small compared to most metabolic network graphs. Given this knowledge and what you know about frequent subgraph mining, what is one potential drawback to using a frequent subgraph mining approach to finding common substructures in metabolic networks.