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A User Guide to Low-Pass Graph Signal Processing and its Applications

A User Guide to Low-Pass Graph Signal Processing and its Applications

4 August 2020
Raksha Ramakrishna
Hoi-To Wai
Anna Scaglione
ArXiv (abs)PDFHTML

Papers citing "A User Guide to Low-Pass Graph Signal Processing and its Applications"

16 / 16 papers shown
Title
Lightweight Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
Lightweight Transformer via Unrolling of Mixed Graph Algorithms for Traffic Forecast
Ji Qi
Tam Thuc Do
Mingxiao Liu
Zhuoshi Pan
Yuzhe Li
Gene Cheung
H. Vicky Zhao
AI4TS
23
0
0
19 May 2025
Cramer-Rao Bounds for Laplacian Matrix Estimation
Cramer-Rao Bounds for Laplacian Matrix Estimation
Morad Halihal
T. Routtenberg
H. Vincent Poor
36
0
0
06 Apr 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
Jin-Duk Park
Jaemin Yoo
Won-Yong Shin
134
1
0
13 Feb 2025
Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
Generalization of Geometric Graph Neural Networks with Lipschitz Loss Functions
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
61
4
0
08 Sep 2024
Generalization of Graph Neural Networks is Robust to Model Mismatch
Generalization of Graph Neural Networks is Robust to Model Mismatch
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
123
2
0
25 Aug 2024
A Manifold Perspective on the Statistical Generalization of Graph Neural
  Networks
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
AI4CEGNN
74
9
0
07 Jun 2024
Network Momentum across Asset Classes
Network Momentum across Asset Classes
Xingyue Pu
Stephen J. Roberts
Xiaowen Dong
S. Zohren
AIFin
40
3
0
22 Aug 2023
LogSpecT: Feasible Graph Learning Model from Stationary Signals with
  Recovery Guarantees
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees
Shangyuan Liu
Lingling Zhu
Anthony Man-Cho So
58
1
0
02 May 2023
Analysis of business process automation as linear time-invariant system
  network
Analysis of business process automation as linear time-invariant system network
Mauricio Jacobo-Romero
Danilo S. Carvalho
André Freitas
44
0
0
09 Feb 2023
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
88
72
0
16 Nov 2022
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and
  its Applications to Electric Power Systems AI
Complex-Value Spatio-temporal Graph Convolutional Neural Networks and its Applications to Electric Power Systems AI
Tong Wu
Anna Scaglione
D. Arnold
GNN
70
12
0
17 Aug 2022
Online Inference for Mixture Model of Streaming Graph Signals with
  Non-White Excitation
Online Inference for Mixture Model of Streaming Graph Signals with Non-White Excitation
Yiran He
Hoi-To Wai
61
3
0
28 Jul 2022
On the Stability of Low Pass Graph Filter With a Large Number of Edge
  Rewires
On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires
Hoang-Son Nguyen
Yiran He
Hoi-To Wai
58
8
0
14 Oct 2021
How Powerful is Graph Convolution for Recommendation?
How Powerful is Graph Convolution for Recommendation?
Yifei Shen
Yongji Wu
Yao Zhang
Caihua Shan
Jun Zhang
Khaled B. Letaief
Dongsheng Li
GNN
77
102
0
17 Aug 2021
Interpretable Stability Bounds for Spectral Graph Filters
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay
D. Thanou
Xiaowen Dong
82
40
0
18 Feb 2021
Algorithms for Learning Graphs in Financial Markets
Algorithms for Learning Graphs in Financial Markets
José Vinícius de Miranda Cardoso
Jiaxi Ying
Daniel P. Palomar
CMLAIFin
122
17
0
31 Dec 2020
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