Comments (2)
These are all good points for a nicer, smoother onboarding process and making usage of graphblas much easier.
Personally, I feel we need to prioritize having a good reference documentation. This will at least give everyone the basic usage of graphblas' functions.
Besides that, a small tutorial like that of NetworkX could be helpful for a hands on example and exposure to graphblas.
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I agree with those priorities @z3y50n, thanks for the input.
Check out the documentation that @jim22k just created:
https://python-graphblas.readthedocs.io/en/latest/
I expect documentation will be an ongoing effort, so feedback is most welcome.
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Related Issues (15)
- Automated testing to compare with networkx HOT 1
- COMMUNITY: Regular GraphBLAS Algorithms community conference calls (Open to all)
- Alternative for square counting (for square clustering)
- multi-property graphs and handling of "weight" parameter
- Update README
- Raw vs Wrapped objects
- Add `graph-tool` backend to `scripts/bench.py`
- Add `igraph` backend to `scripts/bench.py` HOT 1
- Logo for `graphblas-algorithms` HOT 3
- square_clustering output using networkx api HOT 14
- `NodeMap` and other results need better reprs
- Redo/refactor calculations and caching of properties such as degrees
- add `id_to_key` as argument to graph constructor HOT 1
- Degree Centrality Calculation Differs From Networkx HOT 1
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