A selection of 3 curated graph Python libraries and frameworks ordered by stars.
Checkout the interactive version that you can filter and sort: https://www.awesomepython.org/
Network Analysis in Python
https://networkx.org
https://github.com/networkx/networkx
17 stars per week over 593 weeks
10,191 stars, 2,477 forks, 276 watches
created 2010-09-06, last commit 2022-01-21, main language Python
complex-networks, graph-algorithms, graph-analysis, graph-generation, graph-theory, graph-visualization, python
StellarGraph - Machine Learning on Graphs
https://stellargraph.readthedocs.io/
https://github.com/stellargraph/stellargraph
11 stars per week over 197 weeks
2,261 stars, 337 forks, 60 watches
created 2018-04-13, last commit 2021-10-29, main language Python
data-science, deep-learning, gcn, geometric-deep-learning, graph-analysis, graph-convolutional-networks, graph-data, graph-machine-learning, graph-neural-networks, graphs, heterogeneous-networks, interpretability, link-prediction, machine-learning, machine-learning-algorithms, networkx, python, saliency-map, stellargraph-library
markov clustering in python
https://github.com/guyallard/markov_clustering
0.51 stars per week over 225 weeks
115 stars, 33 forks, 8 watches
created 2017-09-27, last commit 2018-12-11, main language Python
clustering, markov-clustering, networks, python
This file was automatically generated on 2022-01-23.
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Inspired by:
https://github.com/vinta/awesome-python
https://github.com/trananhkma/fucking-awesome-python