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With hypervolumes you mean all the (n-1)-dimensional 'faces' (n > 1) formed by a vertex and its neighbours in an n-dimensional simplex or a mesh of those? To assign unique weights to all interactions between a vertex and up to n-1 of its neighbours, I assume.



Yeah. And because they are sparse the representation is both tiny and stupidly powerful.


Would you care to share some pointers to materials where one could learn about simplicial representations of things traditionally modeled by networks?


There aren't any I could find, I had to do everything from first principles and the notebooks were left with my employer.




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