interesting network representation! after being confused for a little, it just looks like a pair of compressed-row sparse matrices - one matrix for the forward

interesting network representation! after being confused for a little, it just looks like a pair of compressed-row sparse matrices - one matrix for the forward edges, and the other for the reverse edges. which then seems like a pretty sensible thing to do, if you care about directionality. (e.g. http://web.eecs.utk.edu/~dongarra/etemplates/node373.html http://web.eecs.utk.edu/~dongarra/etemplates/node373.html) (edit: without the coefficients, of course, unless you want edge weights)