netsci-labs
python-graphblas
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netsci-labs | python-graphblas | |
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1 | 4 | |
13 | 112 | |
- | 8.0% | |
6.1 | 7.7 | |
2 months ago | 27 days ago | |
Jupyter Notebook | Jupyter Notebook | |
- | Apache License 2.0 |
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netsci-labs
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My network science / ML on graphs notebooks
A huge inspiration is the Stanford's cs224w course. The notebooks are structured for teaching. https://github.com/zademn/netsci-labs
python-graphblas
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What can I contribute to SciPy (or other) with my pure math skill? I’m pen and paper mathematician
Core Python library python-graphblas is here: https://github.com/python-graphblas/python-graphblas
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NetworkX 3.0
Great talk!
This slide shows some speedups when using the GraphBLAS [1] backend [2]:
https://i.postimg.cc/mr3mkKtx/100x-Faster-Network-X.png
[1] https://github.com/python-graphblas/python-graphblas
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GraphBLAS
GraphBLAS is underrated and underused IMHO. If you use e.g. scipy.sparse, NetworkX, or similar, you should check out GraphBLAS. It is really fast even compared to scipy.sparse, and more capable in many ways.
They've actually started implementing the NetworkX API
https://github.com/python-graphblas/graphblas-algorithms
with python-graphblas
https://github.com/python-graphblas/python-graphblas
What are some alternatives?
QuickQanava - :link: C++17 network / graph visualization library - Qt6 / QML node editor.
cugraph - cuGraph - RAPIDS Graph Analytics Library
graphein - Protein Graph Library
CyRK - Runge-Kutta ODE Integrator Implemented in Cython and Numba
egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
awesome-network-analysis - A curated list of awesome network analysis resources.