A couple of familiar names here!

https://doi.org/10.1017/nws.2025.10018

Abstract

Many empirical systems contain complex interactions of arbitrary size, 
representing, for example, chemical reactions, social groups, co-authorship 
relationships, and ecological dependencies. These interactions are known as 
higher-order interactions, and the collection of these interactions comprise a 
higher-order network, or hypergraph. Hypergraphs have established themselves as 
a popular and versatile mathematical representation of such systems, and a 
number of software packages written in various programming languages have been 
designed to analyze these networks. However, the ecosystem of higher-order 
network analysis software is fragmented due to specialization of each 
software’s programming interface and compatible data representations. To enable 
seamless data exchange between higher-order network analysis software packages, 
we introduce the Hypergraph Interchange Format (HIF), a standardized format for 
storing higher-order network data. HIF supports multiple types of higher-order 
networks, including undirected hypergraphs, directed hypergraphs, and abstract 
simplicial complexes, while actively exploring extensions to represent 
multiplex hypergraphs, temporal hypergraphs, and ordered hypergraphs. To 
accommodate the wide variety of metadata used in different contexts, HIF also 
includes support for attributes associated with nodes, edges, and incidences. 
This initiative is a collaborative effort involving authors, maintainers, and 
contributors from prominent hypergraph software packages. This project 
introduces a JSON schema with corresponding documentation and unit tests, 
example HIF-compliant datasets, and tutorials demonstrating the use of HIF with 
several popular higher-order network analysis software packages.


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