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

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

22 February 2025
Tamal K. Dey
Shreyas N. Samaga
ArXivPDFHTML

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

34 / 34 papers shown
Title
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
D-GRIL: End-to-End Topological Learning with 2-parameter Persistence
Soham Mukherjee
Shreyas N. Samaga
Cheng Xin
Steve Oudot
Tamal K. Dey
109
6
0
11 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification
GEFL: Extended Filtration Learning for Graph Classification
Simon Zhang
Soham Mukherjee
T. Dey
108
10
0
04 Jun 2024
Graphcode: Learning from multiparameter persistent homology using graph
  neural networks
Graphcode: Learning from multiparameter persistent homology using graph neural networks
Michael Kerber
Florian Russold
AI4TS
AI4CE
32
5
0
23 May 2024
Time-Aware Knowledge Representations of Dynamic Objects with
  Multidimensional Persistence
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
Baris Coskunuzer
I. Segovia-Dominguez
Yuzhou Chen
Yulia R. Gel
AI4TS
16
2
0
24 Jan 2024
Stable Vectorization of Multiparameter Persistent Homology using Signed
  Barcodes as Measures
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures
David Loiseaux
Luis Scoccola
Mathieu Carrière
M. B. Botnan
S. Oudot
39
19
0
06 Jun 2023
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time
  Series Classification
TodyNet: Temporal Dynamic Graph Neural Network for Multivariate Time Series Classification
Huaiyuan Liu
Xianzhang Liu
Donghua Yang
Zhiyu Liang
Hongzhi Wang
Yong Cui
Jun Gu
AI4TS
50
30
0
11 Apr 2023
GRIL: A $2$-parameter Persistence Based Vectorization for Machine
  Learning
GRIL: A 222-parameter Persistence Based Vectorization for Machine Learning
Cheng Xin
Soham Mukherjee
Shreyas N. Samaga
T. Dey
60
15
0
11 Apr 2023
Euler Characteristic Tools For Topological Data Analysis
Euler Characteristic Tools For Topological Data Analysis
Olympio Hacquard
Vadim Lebovici
44
11
0
24 Mar 2023
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan
Xin Yu
Yuhang Ding
Yi Yang
Mohan Kankanhalli
3DPC
140
112
0
27 May 2022
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural
  Network
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network
Jichao Kan
Kun Hu
M. Hagenbuchner
A. Tsoi
Bennamoun
Zhiyong Wang
SLR
105
36
0
14 Nov 2021
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain
  Generalization for Sleep Stage Classification
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia
Youfang Lin
Jing Wang
Xiaojun Ning
Yuanlai He
R. Zhou
Yuhan Zhou
Li-wei H. Lehman
29
161
0
04 Sep 2021
Spatio-temporal Self-Supervised Representation Learning for 3D Point
  Clouds
Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds
Siyuan Huang
Yichen Xie
Song-Chun Zhu
Yixin Zhu
3DPC
45
206
0
01 Sep 2021
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series
  Forecasting
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting
Yuzhou Chen
I. Segovia-Dominguez
Yulia R. Gel
AI4TS
40
138
0
10 May 2021
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on
  FPGA Platform
An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform
Zishen Wan
Yuyang Zhang
A. Raychowdhury
Bo Yu
Haibin Ling
Shaoshan Liu
57
180
0
01 Apr 2021
Topological Graph Neural Networks
Topological Graph Neural Networks
Max Horn
E. Brouwer
Michael Moor
Yves Moreau
Bastian Rieck
Karsten Borgwardt
AI4CE
29
92
0
15 Feb 2021
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe
Tolga Birdal
Yongheng Zhao
Zan Gojcic
Srinath Sridhar
Leonidas Guibas
3DPC
76
71
0
06 Aug 2020
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal
  Traffic Forecasting
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting
Boris N. Oreshkin
A. Amini
Lucy Coyle
Mark Coates
AI4TS
51
94
0
30 Jul 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism
  Counting
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Giorgos Bouritsas
Fabrizio Frasca
Stefanos Zafeiriou
M. Bronstein
91
428
0
16 Jun 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph
  Neural Networks
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Xiaojun Chang
Chengqi Zhang
AI4TS
57
1,365
0
24 May 2020
Omni-Scale CNNs: a simple and effective kernel size configuration for
  time series classification
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang
Guodong Long
Lu Liu
Dinesh Manocha
Michael Blumenstein
Jing Jiang
AI4TS
71
101
0
24 Feb 2020
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Xingyu Liu
Mengyuan Yan
Jeannette Bohg
3DPC
32
193
0
21 Oct 2019
A Topology Layer for Machine Learning
A Topology Layer for Machine Learning
Rickard Brüel-Gabrielsson
Bradley J. Nelson
Anjan Dwaraknath
Primoz Skraba
Leonidas Guibas
Gunnar Carlsson
AI4CE
46
132
0
29 May 2019
Graph Filtration Learning
Graph Filtration Learning
Christoph Hofer
Florian Graf
Bastian Rieck
Marc Niethammer
Roland Kwitt
87
97
0
27 May 2019
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph
  Topological Signatures
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures
Mathieu Carrière
Frédéric Chazal
Yuichi Ike
Théo Lacombe
Martin Royer
Yuhei Umeda
27
176
0
20 Apr 2019
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for
  Sequence-to-Sequence Automatic Sleep Staging
SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging
Huy P Phan
Fernando Andreotti
Navin Cooray
Oliver Y. Chén
M. D. Vos
89
417
0
28 Sep 2018
A Kernel for Multi-Parameter Persistent Homology
A Kernel for Multi-Parameter Persistent Homology
René Corbet
Ulderico Fugacci
Michael Kerber
C. Landi
Bei Wang
21
49
0
26 Sep 2018
A Topological Regularizer for Classifiers via Persistent Homology
A Topological Regularizer for Classifiers via Persistent Homology
Chao Chen
Xiuyan Ni
Qinxun Bai
Yusu Wang
59
112
0
27 Jun 2018
Multivariate LSTM-FCNs for Time Series Classification
Multivariate LSTM-FCNs for Time Series Classification
Fazle Karim
Somshubra Majumdar
H. Darabi
Samuel Harford
AI4TS
46
827
0
14 Jan 2018
Multivariate Time Series Classification with WEASEL+MUSE
Multivariate Time Series Classification with WEASEL+MUSE
Patrick Schäfer
Ulf Leser
AI4TS
30
141
0
30 Nov 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework
  for Traffic Forecasting
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
Ting Yu
Haoteng Yin
Zhanxing Zhu
GNN
AI4TS
75
3,675
0
14 Sep 2017
A deep learning architecture for temporal sleep stage classification
  using multivariate and multimodal time series
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Stanislas Chambon
M. Galtier
P. Arnal
G. Wainrib
Alexandre Gramfort
MLAU
AI4TS
43
488
0
05 Jul 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw
  Single-Channel EEG
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
A. Supratak
Hao Dong
Chao Wu
Yike Guo
68
954
0
12 Mar 2017
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Mixed Neural Network Approach for Temporal Sleep Stage Classification
Hao Dong
A. Supratak
W. Pan
Chao Wu
Paul M. Matthews
Yike Guo
33
245
0
15 Oct 2016
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
134
851
0
27 Jul 2012
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