activity
20242026
most citedICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2026★ 1 cited

Population-scale Ancestral Recombination Graphs with tskit 1.0

Ben Jeffery, Yan Wong, Kevin Thornton +49

Ancestral recombination graphs (ARGs) are an increasingly important component of population and statistical genetics. The tskit library has become key infrastructure for the field,…

cs.CG2025

Multiscale 2-Mapper -- Exploratory Data Analysis Guided by the First Betti Number

Halley Fritze

The Mapper algorithm is a fundamental tool in exploratory topological data analysis for identifying connectivity and topological clustering in data. Derived from the nerve construc…

cs.CG2024

Faithful Reeb Graph Reconstruction of a Tectonic Subduction Zone from Earthquake Hypocenters

Halley Fritze, Sushovan Majhi, Marissa Masden +2

An important problem in topological data analysis (TDA)$\unicode{x2014}$of both theoretical and practical interest$\unicode{x2014}$is to reconstruct the topology and geometry of an…

cs.LG2024★ 2 cited

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain

Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna +70

This paper describes the 2nd edition of the ICML Topological Deep Learning Challenge that was hosted within the ICML 2024 ELLIS Workshop on Geometry-grounded Representation Learnin…

cs.LG2024

TopoBench: A Framework for Benchmarking Topological Deep Learning

Lev Telyatnikov, Guillermo Bernardez, Marco Montagna +34

This work introduces TopoBench, an open-source library designed to standardize benchmarking and accelerate research in topological deep learning (TDL). TopoBench decomposes TDL int…