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On the effectiveness of persistent homology

On the effectiveness of persistent homology

21 June 2022
Renata Turkevs
Guido Montúfar
N. Otter
ArXivPDFHTML

Papers citing "On the effectiveness of persistent homology"

10 / 10 papers shown
Title
A Relative Homology Theory of Representation in Neural Networks
A Relative Homology Theory of Representation in Neural Networks
Kosio Beshkov
99
0
0
17 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
49
0
0
17 Jan 2025
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
Metric Space Magnitude for Evaluating the Diversity of Latent Representations
K. Limbeck
R. Andreeva
Rik Sarkar
Bastian Alexander Rieck
30
3
0
27 Nov 2023
On the Expressivity of Persistent Homology in Graph Learning
On the Expressivity of Persistent Homology in Graph Learning
Bastian Alexander Rieck
Bastian Rieck
19
13
0
20 Feb 2023
Can Persistent Homology provide an efficient alternative for Evaluation
  of Knowledge Graph Completion Methods?
Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Johannes Hoffart
Toyotaro Suzumura
Manish Singh
25
3
0
30 Jan 2023
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
GraphWalks: Efficient Shape Agnostic Geodesic Shortest Path Estimation
Rolandos Alexandros Potamias
Alexandros Neofytou
Kyriaki-Margarita Bintsi
S. Zafeiriou
35
13
0
30 May 2022
Learning Rotation-Invariant Representations of Point Clouds Using
  Aligned Edge Convolutional Neural Networks
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks
Junming Zhang
Ming-Yuan Yu
Ram Vasudevan
Matthew Johnson-Roberson
3DPC
34
24
0
02 Jan 2021
A Topological "Reading" Lesson: Classification of MNIST using TDA
A Topological "Reading" Lesson: Classification of MNIST using TDA
A. Garin
Guillaume Tauzin
47
63
0
18 Oct 2019
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,109
0
02 Dec 2016
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
112
846
0
27 Jul 2012
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