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Given this seamless transition between linear algebra and graph theory, could someone summarize how exactly one or the other formulation helps to solve problems better?

I wouldn't want to read up a huge list of things, just trying to get a sense of what's being achieved by this kind of (re)formulation.



See Bayesian networks, Markov chains...




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