- conceptual framework or structure
- that is used to describe relationships between graphs
- or to represent higher-level relationships within a single graph
- it’s essentially a graph of graphs, where each node in the metagraph
- could represent an entire graph or a complex substructure within a larger system
- aspects of a metagraph
- modes represent graphs
- in a metagraph, the nodes themselves can represent entire graphs or networks
- this allows for modeling complex systems where each component is itself a complex structure
- edges represent relationships
- the edges in a metagraph represent relationships between these component graphs
- these relationships can be as simple as connections
- or as complex as interactions involving multiple parameters or conditions
- hierarchical structure
- metagraphs can represent hierarchical structures
- where each level of the hierarchy represents a different level of abstraction or detail
- applications
- machine learning
- data science
- network theory
- computational biology
- used in situations where complex systems need to be modeled at multiple levels of abstraction
- provides a way to organize and model complex relationships by considering entire graphs
- as single entities and then analyzing the relationships between these entities