ML Anthology

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

Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane
MLOSS 2024 pp. 1-8
/mloss/2024/hajij2024jmlr-topox/

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 https://pyt-team.github.io.

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Cite

Text

Hajij et al. "TopoX: A Suite of Python Packages for Machine Learning on Topological Domains." Machine Learning Open Source Software, 2024.

Markdown

[Hajij et al. "TopoX: A Suite of Python Packages for Machine Learning on Topological Domains." Machine Learning Open Source Software, 2024.](https://mlanthology.org/mloss/2024/hajij2024jmlr-topox/)

BibTeX

@article{hajij2024jmlr-topox,
  title     = {{TopoX: A Suite of Python Packages for Machine Learning on Topological Domains}},
  author    = {Hajij, Mustafa and Papillon, Mathilde and Frantzen, Florian and Agerberg, Jens and AlJabea, Ibrahem and Ballester, Rubén and Battiloro, Claudio and Bernárdez, Guillermo and Birdal, Tolga and Brent, Aiden and Chin, Peter and Escalera, Sergio and Fiorellino, Simone and Gardaa, Odin Hoff and Gopalakrishnan, Gurusankar and Govil, Devendra and Hoppe, Josef and Karri, Maneel Reddy and Khouja, Jude and Lecha, Manuel and Livesay, Neal and Meißner, Jan and Mukherjee, Soham and Nikitin, Alexander and Papamarkou, Theodore and Prílepok, Jaro and Ramamurthy, Karthikeyan Natesan and Rosen, Paul and Guzmán-Sáenz, Aldo and Salatiello, Alessandro and Samaga, Shreyas N. and Scardapane, Simone and Schaub, Michael T. and Scofano, Luca and Spinelli, Indro and Telyatnikov, Lev and Truong, Quang and Walters, Robin and Yang, Maosheng and Zaghen, Olga and Zamzmi, Ghada and Zia, Ali and Miolane, Nina},
  journal   = {Machine Learning Open Source Software},
  year      = {2024},
  pages     = {1-8},
  volume    = {25},
  url       = {https://mlanthology.org/mloss/2024/hajij2024jmlr-topox/}
}