Cover Image

Contraction and Hourglass Persistence for Learning on Graphs, Simplices, and Cells

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ji, Mattie, Roy, Indradyumna, Garg, Vikas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Algebraic Topology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On topological descriptors for graph products
by: Ji, Mattie, et al.
Published: (2025)

Boosting Graph Pooling with Persistent Homology
by: Ying, Chaolong, et al.
Published: (2024)

Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs
by: Li, Hao, et al.
Published: (2024)

A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
by: Majhi, Sushovan, et al.
Published: (2026)

Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
by: Shin, Jaesun, et al.
Published: (2024)

Persistence Spheres: Bi-continuous Representations of Persistence Diagrams
by: Pegoraro, Matteo
Published: (2025)

On the Injectivity of Euler Integral Transforms with Hyperplanes and Quadric Hypersurfaces
by: Ji, Mattie
Published: (2023)

Convolutional Persistence Transforms
by: Solomon, Elchanan, et al.
Published: (2022)

Persistent Homology via Ellipsoids
by: Canova, Niklas, et al.
Published: (2024)

Torsion in Persistent Homology and Neural Networks
by: Walch, Maria
Published: (2025)

xPerT: Extended Persistence Transformer
by: Kim, Sehun
Published: (2024)

Stability for Inference with Persistent Homology Rank Functions
by: Wang, Qiquan, et al.
Published: (2023)

Persistence kernels for classification: A comparative study
by: Bandiziol, Cinzia, et al.
Published: (2024)

Fast Topological Signal Identification and Persistent Cohomological Cycle Matching
by: García-Redondo, Inés, et al.
Published: (2022)

Persistent Homology for High-dimensional Data Based on Spectral Methods
by: Damrich, Sebastian, et al.
Published: (2023)

Filtration-Based Representation Learning for Temporal Graphs
by: Chowdhury, Samrik, et al.
Published: (2025)

Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data
by: Dey, Tamal K., et al.
Published: (2025)

Mathematical Insights into Protein Architecture: Persistent Homology and Machine Learning Applied to the Flagellar Motor
by: Lamine, Zakaria, et al.
Published: (2025)

D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
by: Mukherjee, Soham, et al.
Published: (2024)

Have Graph -- Will Lift? The Case for Higher-Order Benchmarks
by: Rieck, Bastian
Published: (2026)

Persistent Homology as Stopping-Criterion for Voronoi Interpolation
by: Melodia, Luciano, et al.
Published: (2019)

Persistent reachability homology in machine learning applications
by: Caputi, Luigi, et al.
Published: (2025)

Cosmology with Persistent Homology: Parameter Inference via Machine Learning
by: Calles, Juan, et al.
Published: (2024)

Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms
by: von Rohrscheidt, Julius, et al.
Published: (2024)

Graph Persistence goes Spectral
by: Ji, Mattie, et al.
Published: (2025)

Topological Quality of Subsets via Persistence Matching Diagrams
by: Torras-Casas, Álvaro, et al.
Published: (2023)

Dynamical System Parameter Path Optimization using Persistent Homology
by: Chumley, Max M., et al.
Published: (2025)

Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH
by: Grande, Vincent P., et al.
Published: (2023)

Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data
by: Jeon, Eun Som, et al.
Published: (2024)

HiPoNet: A Multi-View Simplicial Complex Network for High Dimensional Point-Cloud and Single-Cell Data
by: Viswanath, Siddharth, et al.
Published: (2025)

PHLP: Sole Persistent Homology for Link Prediction - Interpretable Feature Extraction
by: You, Junwon, et al.
Published: (2024)

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
by: Loiseaux, David, et al.
Published: (2023)

Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
by: Chung, Moo K., et al.
Published: (2022)

Simplicial Representation Learning with Neural $k$-Forms
by: Maggs, Kelly, et al.
Published: (2023)

Persistence Spheres: a Bi-continuous Linear Representation of Measures for Partial Optimal Transport
by: Pegoraro, Matteo
Published: (2026)

A Normalized Bottleneck Distance on Persistence Diagrams and Homology Preservation under Dimension Reduction
by: May, Nathan H., et al.
Published: (2023)

No Triangulation Without Representation: Generalization in Topological Deep Learning
by: Schmidt, Johannes S., et al.
Published: (2026)

Topological Blindspots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity
by: Eitan, Yam, et al.
Published: (2024)

Graphcode: Learning from multiparameter persistent homology using graph neural networks
by: Kerber, Michael, et al.
Published: (2024)

TUN: Detecting Significant Points in Persistence Diagrams with Deep Learning
by: Chen, Yu, et al.
Published: (2025)