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@Friedemannn thank you for filling a feature request form regarding sssp. In fact, our current Pylibcugraph API only supports device arrays (cupy, cudf) as input when creating the pylibcugraph graph and calling any pylibcugraph algorithms. While we are working on adding it into our roadmap, you can always make a conversion from a scipy to a cupy array as it can be seeing from the example below.
Is this a new feature, an improvement, or a change to existing functionality?
Improvement
How would you describe the priority of this feature request
Low (would be nice)
Please provide a clear description of problem this feature solves
It would enable users to do SSSP (or other things) on Scipy sparse arrays, which is the preferred way to store sparse data by scipy, see note under: https://docs.scipy.org/doc/scipy/reference/sparse.html
Describe your ideal solution
Also allow scipy.sparse.coo_array etc. as input to cugraph functions with current support for scipy.sparse.coo_matrix.
Describe any alternatives you have considered
No response
Additional context
No response
Code of Conduct
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