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TopoX: A Suite of Python Packages for Machine Learning on Topological
  Domains
v1v2v3v4 (latest)

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

4 February 2024
Pavlo Vasylenko
Johan Mathe
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
D. Govil
Josef Hoppe
Maneel Reddy Karri
Jude Khouja
Manuel Lecha
Neal Livesay
Jan Meissner
Soham Mukherjee
Alexander Nikitin
Theodore Papamarkou
Jaro Prílepok
Karthikeyan N. 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
ArXiv (abs)PDFHTMLGithub

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

11 / 11 papers shown
Topotein: Topological Deep Learning for Protein Representation Learning
Topotein: Topological Deep Learning for Protein Representation Learning
Zhiyu Wang
Arian R. Jamasb
Mustafa Hajij
Alex Morehead
Luke Braithwaite
Pietro Lio
162
3
0
04 Sep 2025
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
CosmoBench: A Multiscale, Multiview, Multitask Cosmology Benchmark for Geometric Deep Learning
Ningyuan Huang
Richard Stiskalek
Jun-Young Lee
Adrian E Bayer
C. Margossian
C. K. Jespersen
L. A. Perez
Lawrence K. Saul
F. Villaescusa-Navarro
3DPC
247
2
0
04 Jul 2025
HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection
HLSAD: Hodge Laplacian-based Simplicial Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2025
Florian Frantzen
Michael T. Schaub
283
1
0
30 May 2025
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha
Andrea Cavallo
Francesca Dominici
Ran Levi
Alessio Del Bue
Elvin Isufi
Pietro Morerio
Claudio Battiloro
AI4CE
471
2
0
23 May 2025
Continuous Simplicial Neural Networks
Continuous Simplicial Neural Networks
Aref Einizade
Dorina Thanou
Fragkiskos D. Malliaros
Jhony H. Giraldo
AI4CE
506
3
0
17 Mar 2025
Enhancing the Utility of Higher-Order Information in Relational Learning
Enhancing the Utility of Higher-Order Information in Relational Learning
Raphael Pellegrin
Lukas Fesser
Melanie Weber
554
0
0
13 Feb 2025
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
Johan Mathe
Guillermo Bernardez
Claudio Battiloro
Nina Miolane
BDL
768
12
0
09 Oct 2024
MANTRA: The Manifold Triangulations Assemblage
MANTRA: The Manifold Triangulations AssemblageInternational Conference on Learning Representations (ICLR), 2024
Rubén Ballester
Ernst Röell
Daniel Bin Schmid
Mathieu Alain
Sergio Escalera
Carles Casacuberta
Bastian Rieck
556
8
0
03 Oct 2024
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures
Sophia Sanborn
Sophia Sanborn
Johan Mathe
Louisa Cornelis
Abby Bertics
...
Hansen Lillemark
Christian Shewmake
Fatih Dinc
Xavier Pennec
Nina Miolane
408
20
0
12 Jul 2024
Demystifying Higher-Order Graph Neural Networks
Demystifying Higher-Order Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Maciej Besta
Florian Scheidl
Lukas Gianinazzi
Grzegorz Kwa'sniewski
S. Klaiman
Jürgen Müller
Torsten Hoefler
584
7
0
18 Jun 2024
E(n) Equivariant Topological Neural Networks
E(n) Equivariant Topological Neural Networks
Claudio Battiloro
Ege Karaismailoglu
Mauricio Tec
George Dasoulas
Michelle Audirac
Francesca Dominici
773
20
0
24 May 2024
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