• Publications
    • D-gril: End-to-end topological learning with 2-parameter persistence
    • GRIL: A 2-parameter Persistence Based Vectorization for Machine Learning
    • Topological Deep Learning: Going Beyond Graph Data
    • Determining clinically relevant features in cytometry data using persistent homology
    • Gefl: Extended filtration learning for graph classification
    • Denoising with discrete Morse theory
    • Gene expression data classification using topology and machine learning models

Topological Deep Learning: Going Beyond Graph Data

Jan 1, 2023·
Mustafa Hajij
,
Ghada Zamzmi
,
Theodore Papamarkou
,
Nina Miolane
,
Aldo Guzmán-Sáenz
,
Karthikeyan Natesan Ramamurthy
,
Tolga Birdal
,
Tamal K Dey
,
Soham Mukherjee
,
Shreyas N Samaga
,
Others
· 0 min read
Cite
Last updated on Jan 1, 2023
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Determining clinically relevant features in cytometry data using persistent homology Jan 1, 2022 →

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