HGX-Team
@hgx_team
HGX is a multi-purpose, open-source Python library for higher-order network analysis
Hello world!🤓 We are happy to launch hypergraphx (HGX), a multi-purpose, open-source Python library for higher-order network analysis. Article: arxiv.org/pdf/2303.15356… Github: github.com/HGX-Team/hyper… A walkthrough of the library main features🧵

Funded PhD alert! 🚨 Interested in joining me at the @NUnetsi London campus @NortheasternLDN with a fully funded PhD Scholarship in Network Science? Call: jobs.ac.uk/job/DGH718/nor… Deadline: 1 April 2024 Start date: 1 October 2024 Just get in touch | Pls help spread the word 🕸️🕸️
➡️What can we learn from directionality in group interactions? ⬅️In “The microscale organization of directed hypergraphs” we study structural properties of systems with directed, higher-order interactions 📄Arxiv: arxiv.org/abs/2410.16258 w/ Vendramini, Montresor and @fede7j
📑 New preprint out: "Multiplex measures for higher-order networks" w/ A. Montresor and @fede7j arxiv: arxiv.org/abs/2402.16782 code: soon new release of hypergraphx @hgx_team TL;DR: we propose measures for characterizing systems with multiplex & higher-order interactions.
📢⚡️Happy to share our last preprint: "Patterns in temporal networks with higher-order egocentric structures" With @ArreguiGarcia @FraLotito @_SandroMeloni_ & @_giuliacencetti 📰arxiv.org/abs/2402.03866
Last day of @netscix2024 here in Venice. Presenting @hgx_team in Auditorium Santa Margherita at 16. Join us there if you are interested in higher-order networks or in having a frittella after the talk
Hey @netscix2024 participants! 🎭 Ever tried Venice's Carnival-exclusive treat, Fritołe? 🍩 Join the ongoing debate on the best spots to taste it, and here are a few suggestions⬇️:
📢📢📢 New preprint: "Evolutionary game selection creates cooperative environments" w Andrea Civilini, @gomezgardenes, Vito Latora, and @fede7j Here we answer the question 'What happens if we allow for games/payoffs to update?' ArXiv: arxiv.org/abs/2311.11128 @dnds_ceu 1/n
Happy to present @hgx_team at @LogConference meetup in Trento! (And to have some brulè 🍷with graph learning people)
Exciting news! 🎉 The official program for the @LogConference meetup in #Trento is live! Check it out: 🎙️2 Keynote Speakers 🗣️7 Talks 🖼️15+ Posters 📢Public Talk 🍕Social Dinner Details here: sites.google.com/view/log-meetu… @gabriele_santin @steveazzolin @luca_msl @franciferrini_
🚨We are hiring! If you: - ❤️ Complex Systems - 👩💻💻 with Complex networks and machine learning - can't wait to apply your research to climate change 🌪️, epidemics 🦟🦠, network foundations + resilience 🌱 & adaptation💡 These calls are for you 👇 manliodedomenico.com/collaborate.php
🚨Excited to announce the opening of 2 fully funded PhD and 3 senior research/postdoctoral 3y+ positions to work on the statistical physics of #ComplexNetworks! The focus will be on climate #resilience & coupled complex processes. Join us: we'll have fun!
"Exact and sampling methods for mining higher-order motifs in large hypergraphs" is now published in Springer Computing link.springer.com/article/10.100… TLDR: we propose a sampling method to improve the performance of motif discovery in hypergraphs 🚀 with @musci8 @fede7j A. Montresor
Join us this Friday at the Mining and Learning with Graphs workshop at @ECMLPKDD! Come discover HGX and see what it can do to analyze your favourite hypergraph datasets #ECMLPKDD2023
📍 Currently in Turin for @ECMLPKDD! 📊 If you're into higher-order networks, hypergraph algorithms, or just networks in general, let's chat! 🤝 On Friday, you will also see me presenting a poster about HGX, our Python library for higher-order network analysis. 🖥️ #ECMLPKDD2023
The arxiv of our new paper on higher-order temporal network prediction is out! Great collaboration with Mathieu Jung-Muller and @HuijuanWang! arxiv.org/abs/2309.04376
Check this out if you're interested in community detection in hypergraphs! Hy-MMSBM is available on HGX, it's easy to use and you also have a really nice tutorial here github.com/HGX-Team/hyper… @_NickRuggeri_ @mcontisc @fede7j and Caterina De Bacco
Today, our paper “Community Detection in Large Hypergraphs” has been published in @ScienceAdvances 🎉 We introduce Hy-MMSBM, a community detection model that scales to millions of nodes and hyperedges. @fede7j @mcontisc and Caterina De Bacco. science.org/doi/10.1126/sc… 🧵1/6