Cover Image

Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yu, Peng, Linyu, Li, Bing-Zhao
Format:	Preprint
Published:	2025
Subjects:	Signal Processing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)

Multilinear Kernel Regression and Imputation via Manifold Learning
by: Nguyen, Duc Thien, et al.
Published: (2024)

On the Impact of Downstream Tasks on Sampling and Reconstructing Noisy Graph Signals
by: Sripathmanathan, Baskaran, et al.
Published: (2025)

Graph Distribution-valued Signals: A Wasserstein Space Perspective
by: Zhao, Yanan, et al.
Published: (2025)

Asymmetric Graph Error Control with Low Complexity in Causal Bandits
by: Peng, Chen, et al.
Published: (2024)

Adaptive Least Mean Squares Graph Neural Networks and Online Graph Signal Estimation
by: Yan, Yi, et al.
Published: (2024)

Sampling Method for Generalized Graph Signals with Pre-selected Vertices via DC Optimization
by: Yamashita, Keitaro, et al.
Published: (2025)

Graph Semi-Supervised Learning for Point Classification on Data Manifolds
by: Netto, Caio F. Deberaldini, et al.
Published: (2025)

Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction
by: Castro-Correa, Jhon A., et al.
Published: (2024)

Graph Filters for Signal Processing and Machine Learning on Graphs
by: Isufi, Elvin, et al.
Published: (2022)

Signal Processing Meets SGD: From Momentum to Filter
by: Yao, Zhipeng, et al.
Published: (2023)

Graph Signal Generative Diffusion Models
by: Uslu, Yigit Berkay, et al.
Published: (2025)

WVEmbs with its Masking: A Method For Radar Signal Sorting
by: Hu, Xianan, et al.
Published: (2025)

Consistent Signal Reconstruction from Streaming Multivariate Time Series
by: Ruiz-Moreno, Emilio, et al.
Published: (2023)

LLM Online Spatial-temporal Signal Reconstruction Under Noise
by: Yan, Yi, et al.
Published: (2024)

CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals
by: Li, Xiaoyan, et al.
Published: (2025)

Stationarity and Spectral Characterization of Random Signals on Simplicial Complexes
by: Navarro, Madeline, et al.
Published: (2026)

BLIS-Net: Classifying and Analyzing Signals on Graphs
by: Xu, Charles, et al.
Published: (2023)

SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising
by: Liu, Yu-Tung, et al.
Published: (2024)

Learning Time-Varying Graph Signals via Koopman
by: Krishnan, Sivaram, et al.
Published: (2025)

Learning Kronecker-Structured Graphs from Smooth Signals
by: Shi, Changhao, et al.
Published: (2025)

An Empirical Investigation of Reconstruction-Based Models for Seizure Prediction from ECG Signals
by: Chopannavaz, Mohammad Reza, et al.
Published: (2025)

ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals
by: Chuang, Chun-Hsiang, et al.
Published: (2024)

Time-Vertex Machine Learning for Optimal Sensor Placement in Temporal Graph Signals: Applications in Structural Health Monitoring
by: Niresi, Keivan Faghih, et al.
Published: (2025)

Joint Graph Estimation and Signal Restoration for Robust Federated Learning
by: Fukuhara, Tsutahiro, et al.
Published: (2025)

The Comparison of Riemannian Geometric Matrix-CFAR Signal Detectors
by: Ono, Yusuke, et al.
Published: (2024)

Graph-Driven Models for Gas Mixture Identification and Concentration Estimation on Heterogeneous Sensor Array Signals
by: Wang, Ding, et al.
Published: (2024)

Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
by: Ibtehaz, Nabil, et al.
Published: (2024)

Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks
by: Taraday, Mitchell Keren, et al.
Published: (2024)

Online Network Inference from Graph-Stationary Signals with Hidden Nodes
by: Buciulea, Andrei, et al.
Published: (2024)

Online Proximal ADMM for Graph Learning from Streaming Smooth Signals
by: Chahuara, Hector, et al.
Published: (2024)

Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case
by: Nguyen, Duc Thien, et al.
Published: (2025)

Random Wavelet Features for Graph Kernel Machines
by: de Bassompierre, Valentin, et al.
Published: (2026)

Polynomial Graphical Lasso: Learning Edges from Gaussian Graph-Stationary Signals
by: Buciulea, Andrei, et al.
Published: (2024)

Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
by: Hippert-Ferrer, Alexandre, et al.
Published: (2025)

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation
by: Atienza, Adrian, et al.
Published: (2024)

Beyond Single-Channel: Multichannel Signal Imaging for PPG-to-ECG Reconstruction with Vision Transformers
by: Li, Xiaoyan, et al.
Published: (2025)

Convergence of Manifold Filter-Combine Networks
by: Johnson, David R., et al.
Published: (2024)

Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems
by: Li, Kan, et al.
Published: (2024)

EEGDnet: Fusing Non-Local and Local Self-Similarity for 1-D EEG Signal Denoising with 2-D Transformer
by: Yi, Peng, et al.
Published: (2021)