graph-tool
@graph-tool.skewed.de
360 followers 210 following 2 posts
graph-tool is an efficient Python module for manipulation and statistical analysis of graphs, implemented in C++. https://graph-tool.skewed.de By @tiago.skewed.de, at @invcomplexity.skewed.de.
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Reposted by graph-tool
invcomplexity.skewed.de
A couple of weeks ago we had our first “Complexity Lab Retreat” at great location in Traunkirchen!

skewed.de/lab/group.ht...

We had the opportunity to flex our methodological muscles and learn the dark secrets of the C++ internals of @graph-tool.skewed.de! 💀🤘
Reposted by graph-tool
tiago.skewed.de
🚨 New paper on ArXiv:

“Uncertainty quantification and posterior sampling for network reconstruction”

TL;DR; We present an efficient method to sample the entire ensemble of possible network reconstructions that are compatible with an indirect observation, e.g. a dynamics.

Short thread: 1/N
graph-tool.skewed.de
Good news for Arch GNU/Linux users! Graph-tool is now available in the main repository! To install it, just do:

pacman -S python-graph-tool

The days of compiling graph-tool from AUR are over!

Rejoice! 🎉
Reposted by graph-tool
tiago.skewed.de
Good news everyone! A new version of graph-tool is just out! @graph-tool.skewed.de

graph-tool.skewed.de

Graph-tool is a comprehensive and efficient Python library to work with networks, including structural, dynamical, and statistical algorithms, as well as visualization. 1/N

#networkscience
graph-tool.skewed.de
Did you know that you install @graph-tool.skewed.de via @condaproject.bsky.social, it will install binaries that are
optimized for your specific CPU micro-architecture, including SIMD vectorization, in addition to having OpenMP enabled?
It's awesome! Try it out today!