Reconstructing simplicial complexes from evolutionary games

Reconstructing simplicial complexes from evolutionary games

CHARO DEL GENIO

New paper, just out.

Often, in real-world situations, one does not know the full structure of a network. However, at the same time, one can often observe some interactions that take place on it, and may be interested in knowing its full structure. For example, one may be detecting some partial criminal activity and may want to determine the whole organization. We consider higher-order networks, which are structures with many-body interactions, and specifically simplicial complexes, and show that one can reconstruct a whole network almost perfectly simply by observing the transient of the dynamics that takes place on it. In fact, we give 3 different algorithms to do it, with different complexities and accuracies, so you can choose which one suits you best.

#physics #mathematics #networks #reconstruction #higherorder #simplicialcomplex #hypergraphs #evolutionarygames #transient #dynamics #algorithm

Achievement get: I have #Python code that can algebraically create #hypergraphs - graphs with n-ary edges.
Now to be able to do that in a graphical editor!
Trying to unravel #PyQt scenes!

The registration portal for the School and Workshop in higher-order networks is now open! The link is on the main page of the event. Mark these dates in your calendar: 25 June - 2 July!

Please boost and reshare to anyone who may be interested, and especially students and researchers from South America.

https://www.iip.ufrn.br/eventsdetail.php?inf===QTUdWM

#physics #mathematics #networks #graphs #hypergraphs #complexity #science #school #workshop #conference

International Institute of Physics

International Institute of Physics

'Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick', by Xiyuan Wang, Pan Li, Muhan Zhang.

http://jmlr.org/papers/v26/23-0560.html

#subgraph #nodes #hypergraphs

Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick

We all know #complex #systems are most often structured as #networks. But the #complexity of the real world often goes beyond pairwise interactions. So, how does one model these? Why, with #hypergraphs, of course! And how does one learn about them? By attending our School and Conference on Higher-Order Networks! An international line-up of lecturers and speakers will discuss the #mathematics of hypergraphs, the #physics of the processes they support and discuss #algorithms that can be used to study their #structure and #dynamics.

So, are you curious to learn about the mechanisms that a certain #fascist owner of a social network uses to push people to vote for far-right candidates? And do you want to know the most efficient way #democratic governments have to bring down his evil network of satellites if he keeps breaking the law? Join us!

The event will take place from 25 June to 2 July at the International Institute of Physics of the Federal University of Rio Grande do Norte, in Natal, #Brazil

Please boost widely and send to anyone who you think may be interested, especially students and postdocs!

https://www.iip.ufrn.br/eventsdetail.php?inf===QTUdWM

International Institute of Physics

International Institute of Physics

'TopoX: A Suite of Python Packages for Machine Learning on Topological Domains', by Mustafa Hajij et al.

http://jmlr.org/papers/v25/24-0110.html

#topox #hypergraphs #topological

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains

I am extremely honoured to have been invited to give two talks at The Alan Turing Institute's "Hypergraphs: Theory and Applications" event in London! A huge thanks goes to the Isaac Newton Institute for Mathematical Sciences for organizing this impactful 4-week event and to the amazing organizers Dr. Raffaella Mulas, Prof. Ginestra Bianconi, Prof. Benjamin Macarthur, and Prof. Heather Harrington. Excited to continue the conversation with the brilliant minds I met! 😊 #Hypergraphs #NewtonHTA2024

I thought I remembered someone here was working on a library to create and analyse #hypergraphs (potentially in #rust but I'm not sure).

Does anyone know who that might be? I wanted to check the library but I haven't been able to find it (or if I have, I did not recognize it).

Basically, anyone working on a hypergraph library, please ping me 😉

#complexNetworks #networkAnalysis #graphAnalysis #graphTheory #networkTheory #hypergraph