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20182026
most citedTopological Deep Learning: Going Beyond Graph Data

27 citations · 31 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.LG2025

Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data

Tamal K. Dey, Shreyas N. Samaga

In this paper, we propose Quasi Zigzag Persistent Homology (QZPH) as a framework for analyzing time-varying data by integrating multiparameter persistence and zigzag persistence. T…

cs.LG2024

D-GRIL: End-to-End Topological Learning with 2-parameter Persistence

Soham Mukherjee, Shreyas N. Samaga, Cheng Xin +2

End-to-end topological learning using 1-parameter persistence is well-known. We show that the framework can be enhanced using 2-parameter persistence by adopting a recently introdu…

cs.LG2024★ 2 cited

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

Mustafa Hajij, Mathilde Papillon, Florian Frantzen +40

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: h…

cs.LG2023

ICML 2023 Topological Deep Learning Challenge : Design and Results

Mathilde Papillon, Mustafa Hajij, Helen Jenne +53

This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competi…

cs.LG2023★ 1 cited

GRIL: A -parameter Persistence Based Vectorization for Machine Learning

Cheng Xin, Soham Mukherjee, Shreyas N. Samaga +1

-parameter persistent homology, a cornerstone in Topological Data Analysis (TDA), studies the evolution of topological features such as connected components and cycles hidden in…

cs.LG2022★ 27 cited

Topological Deep Learning: Going Beyond Graph Data

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou +11

Topological deep learning is a rapidly growing field that pertains to the development of deep learning models for data supported on topological domains such as simplicial complexes…

cs.LG2021★ 1 cited

Challenges in the application of a mortality prediction model for COVID-19 patients on an Indian cohort

Yukti Makhija, Samarth Bhatia, Shalendra Singh +9

Many countries are now experiencing the third wave of the COVID-19 pandemic straining the healthcare resources with an acute shortage of hospital beds and ventilators for the criti…