PT Unknown
AU Mustafa Hajij
   Mathilde Papillon
   Florian Frantzen
   Jens Agerberg
   Ibrahem AlJabea
   Ruben Ballester
   Claudio Battiloro
   Guillermo Bernardez
   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 Meibner
   Soham Mukherjee
   Alexander Nikitin
   Theodore Papamarkou
   Jaro Prilepok
   Karthikeyan Natesan Ramamurthy
   Paul Rosen
   Aldo Guzman-Saenz
   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
TI TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
PY 2024
AB 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.
ER