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! 💀🤘

24.04.2025 16:10 — 👍 26    🔁 6    💬 1    📌 1

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...

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

12.03.2025 11:57 — 👍 24    🔁 5    💬 1    📌 0

🚨 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

12.03.2025 11:57 — 👍 160    🔁 51    💬 10    📌 4

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! 🎉

03.01.2025 17:45 — 👍 14    🔁 5    💬 0    📌 1

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

02.12.2024 12:55 — 👍 347    🔁 99    💬 8    📌 5

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!

13.11.2024 21:40 — 👍 6    🔁 3    💬 0    📌 0