Cover Image

TopoBench: A Framework for Benchmarking Topological Deep Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Telyatnikov, Lev, Bernardez, Guillermo, Montagna, Marco, Hajij, Mustafa, Carrasco, Martin, Vasylenko, Pavlo, Papillon, Mathilde, Zamzmi, Ghada, Schaub, Michael T., Verhellen, Jonas, Snopov, Pavel, Miquel-Oliver, Bertran, Gil-Sorribes, Manel, Molina, Alexis, Guallar, Victor, Long, Theodore, Suk, Julian, Rygiel, Patryk, Nikitin, Alexander, Escalona, Giordan, Banf, Michael, Filipiak, Dominik, Schattauer, Max, Imasheva, Liliya, Martinez, Alvaro, Fritze, Halley, Masden, Marissa, Sánchez, Valentina, Lecha, Manuel, Cavallo, Andrea, Battiloro, Claudio, Piekenbrock, Matt, Tec, Mauricio, Dasoulas, George, Miolane, Nina, Scardapane, Simone, Papamarkou, Theodore
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Remedy for Over-Squashing in Graph Learning via Forman-Ricci Curvature based Graph-to-Hypergraph Structural Lifting
by: Banf, Michael, et al.
Published: (2025)

Combinatorial Complexes: Bridging the Gap Between Cell Complexes and Hypergraphs
by: Hajij, Mustafa, et al.
Published: (2023)

Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks
by: Papillon, Mathilde, et al.
Published: (2023)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
by: Bernárdez, Guillermo, et al.
Published: (2024)

TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks
by: Papillon, Mathilde, et al.
Published: (2024)

Colored Markov polycategories and diagrammatic differentiation
by: Papamarkou, Theodore
Published: (2026)

Attending to Topological Spaces: The Cellular Transformer
by: Ballester, Rubén, et al.
Published: (2024)

E(n) Equivariant Topological Neural Networks
by: Battiloro, Claudio, et al.
Published: (2024)

Probability-Generating Function Kernels for Spherical Data
by: Papamarkou, Theodore, et al.
Published: (2021)

TopoU-Net: a U-Net architecture for topological domains
by: Gaurav, Gaurav, et al.
Published: (2026)

Geometry helps in routing scalability
by: Piekenbrock, Matt
Published: (2024)

The Inverse Problem for Single Trajectories of Rough Differential Equations
by: Morrish, Thomas, et al.
Published: (2022)

Model-agnostic variable importance for predictive uncertainty: an entropy-based approach
by: Wood, Danny, et al.
Published: (2023)

Faithful Reeb Graph Reconstruction of a Tectonic Subduction Zone from Earthquake Hypocenters
by: Fritze, Halley, et al.
Published: (2024)

HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
by: Carrasco, Martin, et al.
Published: (2025)

Spatial-Aware Decision-Making with Ring Attractors in Reinforcement Learning Systems
by: Saura, Marcos Negre, et al.
Published: (2024)

Effective Resistance Rewiring: A Simple Topological Correction for Over-Squashing
by: Miquel-Oliver, Bertran, et al.
Published: (2026)

Weibliche Handlungsmacht und Mobilität
by: Schattauer, Corinna
Published: (2025)

Higher-Order Topological Directionality and Directed Simplicial Neural Networks
by: Lecha, Manuel, et al.
Published: (2024)

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
by: Hajij, Mustafa, et al.
Published: (2024)

TopoBench: Benchmarking LLMs on Hard Topological Reasoning
by: Maniparambil, Mayug, et al.
Published: (2026)

Position: Topological Deep Learning is the New Frontier for Relational Learning
by: Papamarkou, Theodore, et al.
Published: (2024)

Tripartite-GraphRAG via Plugin Ontologies
by: Banf, Michael, et al.
Published: (2025)

Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
by: Sommer, Emanuel, et al.
Published: (2024)

Guided Transfer Learning for Discrete Diffusion Models
by: Kleutgens, Julian, et al.
Published: (2025)

Estimation of FFR in coronary arteries with deep learning
by: Rygiel, Patryk
Published: (2024)

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
by: Hajij, Mustafa, et al.
Published: (2025)

The Human Brain as a Combinatorial Complex
by: Sánchez, Valentina, et al.
Published: (2025)

TELEMÁTICA EDUCACIONAL E ENSINO DE QUÍMICA: CONSIDERAÇÕES SOBRE UM CONSTRUTOR DE OBJETOS MOLECULARES
by: Marcelo Giordan
Published: (2005)

A internet vai à escola: domínio e apropriação de ferramentas culturais
by: Marcelo Giordan
Published: (2005)

A revista Ciência Hoje das Crianças e o encaminhamento para carreiras científicas: uma análise do cronotopo da seção “Eu li, eu leio”
by: Marcelo Giordan
Published: (2019)

O computador na Educação em Ciências: breve revisão crítica acerca de algumas formas de utilização
by: Marcelo Giordan
Published: (2005)

Porosity and topological properties of triply periodic minimal surfaces
by: Ermolenko, Sergei, et al.
Published: (2024)

Reparameterization through Coverings and Topological Weight Priors
by: Beketov, Maxim, et al.
Published: (2026)

Multiscale 2-Mapper -- Exploratory Data Analysis Guided by the First Betti Number
by: Fritze, Halley
Published: (2025)

Curación de contenidos en artículos científicos. Categorías y casos
by: Javier Guallar
Published: (2022)

Desinformación, bulos, curación y verificación. Revisión de estudios en Iberoamérica 2017-2020
by: Javier Guallar
Published: (2020)

Combinatorial Regularity for Relatively Perfect Discrete Morse Gradient Vector Fields of ReLU Neural Networks
by: Brooks, Robyn, et al.
Published: (2024)

A ESCOLA COMO ESPAÇO DE FORMAÇÃO DE PROFESSORES INICIANTES
by: Miriane Zanetti Giordan
Published: (2016)

Topology-Aware Activation Functions in Neural Networks
by: Snopov, Pavel, et al.
Published: (2025)