More generally there’s graph neural networks, for instance, but not you’re including many dynamic networks that are not open-ended or evolvable. The idea is to identify common dynamics and add constraints on the types of networks that are included to find general principles within that class. Kisen the constraints, you make the class too broad and can’t identify common principles.
Graphs are the most basic unit of meaning.