Graph theory, graph convolutional networks, knowledge graphs
This post is a good example of the initial realization that folks experience with graphs as data structures. I can see author exclaiming, "Graphs are an intuitive way to express knowledge!" Graphs as data structures can be more nuanced than is usually discussed.Hypernode graphs seem to be very applicable to knowledge graphs, though they have different names depending on the discipline -- nested state machines, statecharts [1], UML hierarchically nested states [2].I recently participated in a lecture series on Applied Category Theory [3] that touched on the underlying math of composition. The course focused on optimization of design choices in complex decision spaces.[1] https://statecharts.github.io/[2] https://en.wikipedia.org/wiki/UML_state_machine#Hierarchical...[3] https://applied-compositional-thinking.engineering/lectures/