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Sparse matrices for graph linear algebra

Hi Jan and Claudio,

Hope you are both well! I have been following your work closely and am curious to know if tensor plans to support, or is willing to accept PRs for sparse (e.g. CSR/CSC) matrix and tensor arithmetic? Do you anticipate this would be difficult to implement using the current API? I would like to use it for spectral graph theory, which borrows many techniques from linear algebra (e.g. EVD, power iteration, Newton's method) to study network dynamical processes. Are you familiar with SuiteSparse and the GraphBLAS project? I believe the techniques they are developing could have many useful applications for AMoD, and would allow your traffic simulator to process much larger transportation networks in memory. Also happy to discuss their applications for MDPs and other labeled transition systems. Thank you.

Best regards,

Breandan

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