@Misc{MustafaHajij2024,
author="Mustafa Hajij
and Mathilde Papillon
and Florian Frantzen
and Jens Agerberg
and Ibrahem AlJabea
and Ruben Ballester
and Claudio Battiloro
and Guillermo Bernardez
and Tolga Birdal
and Aiden Brent
and Peter Chin
and Sergio Escalera
and Simone Fiorellino
and Odin Hoff Gardaa
and Gurusankar Gopalakrishnan
and Devendra Govil
and Josef Hoppe
and Maneel Reddy Karri
and Jude Khouja
and Manuel Lecha
and Neal Livesay
and Jan Meibner
and Soham Mukherjee
and Alexander Nikitin
and Theodore Papamarkou
and Jaro Prilepok
and Karthikeyan Natesan Ramamurthy
and Paul Rosen
and Aldo Guzman-Saenz
and Alessandro Salatiello
and Shreyas N. Samaga
and Simone Scardapane
and Michael T. Schaub
and Luca Scofano
and Indro Spinelli
and Lev Telyatnikov
and Quang Truong
and Robin Walters
and Maosheng Yang
and Olga Zaghen
and Ghada Zamzmi
and Ali Zia
and Nina Miolane",
title="TopoX: A Suite of Python Packages for Machine Learning on Topological Domains",
year="2024",
abstract="We introduce TopoX, a Python software suite that provides reliable and user-friendly building blocks for computing and machine learning on topological domains that extend graphs: hypergraphs, simplicial, cellular, path and combinatorial complexes. TopoX consists of three packages: TopoNetX facilitates constructing and computing on these domains, including working with nodes, edges and higher-order cells; TopoEmbedX provides methods to embed topological domains into vector spaces, akin to popular graph-based embedding algorithms such as node2vec; TopoModelx is built on top of PyTorch and offers a comprehensive toolbox of higher-order message passing functions for neural networks on topological domains. The extensively documented and unit-tested source code of TopoX is available under MIT license at this https URL.",
optnote="HUPBA",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=4021), last updated on Fri, 14 Jun 2024 10:54:18 +0200",
opturl="https://arxiv.org/abs/2402.02441",
file=":http://refbase.cvc.uab.es/files/HPF2024.pdf:PDF"
}