XGI

@xgi.bsky.social in the wild 👀

03.06.2025 07:30 — 👍 7    🔁 2    💬 1    📌 1

@xgi.bsky.social in the wild 👀

03.06.2025 08:28 — 👍 5    🔁 2    💬 1    📌 0

@nwlandry.bsky.social fighting against vibes-based estimations of the convergence when sampling from the configuration model. Good content.

Bonus: @xgi.bsky.social viz

05.06.2025 10:00 — 👍 6    🔁 2    💬 0    📌 0

Tim LaRock talking about the number (and properties) of hypergraphs with the same pairwise projection. Very cool work and a picture of @xgi.bsky.social in the wild 👀

05.06.2025 10:34 — 👍 4    🔁 2    💬 0    📌 0

Hypergraph Link Prediction via Hyperedge Copying
https://arxiv.org/abs/2502.02386
We propose a generative model of temporally-evolving hypergraphs in which hyperedges form via noisy copying of previous hyperedges. Our proposed model reproduces several stylized facts from many empirical hyperg...📈🤖

05.02.2025 16:41 — 👍 0    🔁 1    💬 0    📌 0

XGI in the wild!

20.02.2025 21:27 — 👍 4    🔁 0    💬 0    📌 0

Release v0.9.5 · xgi-org/xgi Fix fast_random_hypergraph fencepost errors. #655 (@nwlandry) Split the GitHub actions for the tutorials and source code. #659 (@nwlandry) Added edgelw keyword in draw(). (Closes Issue #654) #658 (...

Check it out at github.com/xgi-org/xgi/...

09.02.2025 00:20 — 👍 3    🔁 1    💬 0    📌 0

New release! Version 0.9.5 adds support for hyperedge line width. We also fixed an error in our random generative models and made some methods up to 4x faster (!!!) in the process. @kaiserdaniel.bsky.social also made his first contribution, fixing an error in the hypergraph Laplacian. Thanks Daniel!

09.02.2025 00:20 — 👍 3    🔁 3    💬 1    📌 0

XGI in the wild!

05.12.2024 18:33 — 👍 0    🔁 0    💬 0    📌 0

BiGG Models

Did you know that XGI can load chemical reaction datasets directly from the BiGG repository? bigg.ucsd.edu. Simply run "xgi.load_bigg_data()" and see what datasets are available!

02.12.2024 23:19 — 👍 3    🔁 1    💬 0    📌 0

We have coauthorship networks, email networks, contact networks, ecological networks, biological networks and more!

27.11.2024 15:09 — 👍 1    🔁 1    💬 0    📌 0

XGI-DATA — XGI documentation

Did you know that XGI offers 39(!) higher-order datasets in a standardized format? xgi.readthedocs.io/en/stable/xg...

27.11.2024 15:06 — 👍 2    🔁 2    💬 1    📌 1

Benchmarks

Guess what? Now, we have benchmarks for core functionality! Any suggestions for additional benchmarks? xgi-org.github.io/xgi/dev/bench/

25.11.2024 02:35 — 👍 3    🔁 1    💬 0    📌 0

🙋

17.11.2024 12:52 — 👍 0    🔁 0    💬 0    📌 0

Want a feature that you don’t see listed here? Just give us a shout, and we will do our best to make it a reality! As always, contributions are always welcome!

05.12.2023 16:20 — 👍 0    🔁 0    💬 0    📌 0

A large table showing basic statistics for a bunch of higher-order networks.

Python code to load the xgi datasets.

Finally, we have almost DOUBLED the number of higher-order datasets that XGI offers (24). In addition, we have a summary table of the network statistics (xgi.readthedocs.io/en/stable/xg...) so you can quickly find a dataset that meets your needs.

Thanks to @nwlandry.bsky.social for this!

05.12.2023 16:20 — 👍 1    🔁 0    💬 1    📌 0

Hypergraph with nodes and edge labeled.

A hypergraph visualized as a multilayer hypergraph where each layer is an edge size.

A visualization of a hypergraph with edges visualized as polygons with rounded corners wrapping around the nodes.

A visualization of a hypergraph where node colors and edge colors are mapped to their own colorbar

🎨 Visualization
Drawing has gotten more flexible thanks to Maxime Lucas: you can now specify almost any drawing parameter that matplotlib does!
Stay tuned for a longer thread about this soon, and go check the tutos: xgi.readthedocs.io/en/stable/ap...

05.12.2023 16:17 — 👍 0    🔁 0    💬 1    📌 0

📖 Tutorials

- We've organized them by type (getting started, focus, and in-depth) 
- The tutos are now integrated to the online docs: xgi.readthedocs.io/en/stable/ap...
- We've also got recipes, go check them out: xgi.readthedocs.io/en/stable/ap...

Big thanks to Thomas Robiglio for this!

05.12.2023 16:13 — 👍 0    🔁 0    💬 1    📌 0

A poll showing that users would like a cookbook for XGI, followed by more and improved tutorials.

X-mas has come early this year for XGI-ers! We are excited to announce massive changes to our documentation, datasets, and functionality!
This follows our latest poll (below): see thread below for details 👇🧵

05.12.2023 16:12 — 👍 0    🔁 0    💬 1    📌 0

This is the bluesky account for XGI, a Python library for working with higher-order networks! Expect periodic updates on what we're working on, new releases, and research that uses XGI. We're excited to engage with the community here!

25.10.2023 22:15 — 👍 6    🔁 3    💬 0    📌 0

Hello, hypergraphy world!

25.10.2023 22:12 — 👍 6    🔁 0    💬 0    📌 0