graph-tool
@graph-tool.skewed.de
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.
https://graph-tool.skewed.de
By @tiago.skewed.de, at @invcomplexity.skewed.de.
Reposted by graph-tool
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! 💀🤘
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! 💀🤘
April 24, 2025 at 4:10 PM
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! 💀🤘
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
As usual, our algorithms are freely available as part of the @graph-tool.skewed.de library, with documentation: graph-tool.skewed.de/static/doc/d...
Enjoy! N/N
Enjoy! N/N
Network reconstruction from dynamics and behavior
In some cases, direct measurements of the edges of a network are either impossible, or can be done only at significant experimental cost. In such situations, we need to infer the network of interactio...
graph-tool.skewed.de
March 12, 2025 at 11:57 AM
As usual, our algorithms are freely available as part of the @graph-tool.skewed.de library, with documentation: graph-tool.skewed.de/static/doc/d...
Enjoy! N/N
Enjoy! N/N
Reposted by graph-tool
🚨 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
“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
March 12, 2025 at 11:57 AM
🚨 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
“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
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! 🎉
pacman -S python-graph-tool
The days of compiling graph-tool from AUR are over!
Rejoice! 🎉
January 3, 2025 at 5:46 PM
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! 🎉
pacman -S python-graph-tool
The days of compiling graph-tool from AUR are over!
Rejoice! 🎉
Reposted by graph-tool
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
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
December 2, 2024 at 12:55 PM
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
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
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!
optimized for your specific CPU micro-architecture, including SIMD vectorization, in addition to having OpenMP enabled?
It's awesome! Try it out today!
November 13, 2024 at 9:40 PM
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!
optimized for your specific CPU micro-architecture, including SIMD vectorization, in addition to having OpenMP enabled?
It's awesome! Try it out today!