• 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