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Add gdMetriX as NetworkX sub-entry in Python section #148

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Add gdMetriX as NetworkX sub-entry in Python section #148

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6 changes: 4 additions & 2 deletions README.md
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Expand Up @@ -666,6 +666,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [littleballoffur](https://github.com/benedekrozemberczki/littleballoffur) - Python package for sampling from graph structured data with a scikit-learn like API.
- [metaknowledge](http://networkslab.org/metaknowledge/) - Python package to turn bibliometrics data into authorship and citation networks.
- [networkx](https://networkx.org/) - Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
- [gdMetriX](https://github.com/livus/gdMetriX) - NetworkX extension for computing graph drawing quality metrics (crossings, symmetry, node distribution, edge directions, and more).
- [Implementing an ERGM from Scratch in Python](https://gist.github.com/dmasad/8509304), using networkx and numpy (2014).
- [nxviz](https://github.com/ericmjl/nxviz/) - Visualization package for NetworkX.
- [nngt](https://nngt.readthedocs.io) - Library-agnostic graph generation and analysis that wraps around `networkx`, `igraph` and `graph-tool`). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators.
Expand Down Expand Up @@ -1033,8 +1034,9 @@ Alden S. Klovdahl,
[Benjamin Smith](https://github.com/benyamindsmith),
[Beth Duckles](https://github.com/bduckles),
[Lei Cao](https://github.com/cllei12),
[Simon Delarue](https://www.simondelarue.com/) and
[Christian Schulz](https://schulzchristian.github.io/) -
[Simon Delarue](https://www.simondelarue.com/),
[Christian Schulz](https://schulzchristian.github.io/) and
[Sebastian Röder](https://github.com/livus) -
have waived all copyright and related or neighboring rights to this work.

Thanks to [Robert J. Ackland](https://github.com/rjackland),
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