Cover Image

Graph Signal Inference by Learning Narrowband Spectral Kernels

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kar, Osman Furkan, Turhan, Gülce, Vural, Elif
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Locally Stationary Graph Processes
by: Canbolat, Abdullah, et al.
Published: (2023)

A Unified Analysis of Generalization and Sample Complexity for Semi-Supervised Domain Adaptation
by: Vural, Elif, et al.
Published: (2025)

Downlink Channel Covariance Matrix Estimation via Representation Learning with Graph Regularization
by: Zerin, Melih Can, et al.
Published: (2024)

Reconstruction of Graph Signals on Complex Manifolds with Kernel Methods
by: Zhang, Yu, et al.
Published: (2025)

NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals
by: Patro, Badri N., et al.
Published: (2026)

Pruning is Optimal for Learning Sparse Features in High-Dimensions
by: Vural, Nuri Mert, et al.
Published: (2024)

Generative Kernel Spectral Clustering
by: Winant, David, et al.
Published: (2025)

Spectrally Transformed Kernel Regression
by: Zhai, Runtian, et al.
Published: (2024)

A Multi-Graph Convolutional Neural Network Model for Short-Term Prediction of Turning Movements at Signalized Intersections
by: Palit, Jewel Rana, et al.
Published: (2024)

AdaKernel: Learning Adaptive Kernel Parameters for Spatiotemporal Graph Neural Networks
by: Zhang, Zhongyue, et al.
Published: (2026)

GNN-based Unified Deep Learning
by: Pala, Furkan, et al.
Published: (2025)

Spectral Anatomy of Quantum Gaussian Process Kernels
by: Xu, Jian, et al.
Published: (2026)

Graph Contrastive Learning via Spectral Graph Alignment
by: Nguyen, Manh
Published: (2025)

Kernel Semi-Implicit Variational Inference
by: Cheng, Ziheng, et al.
Published: (2024)

Spectral Truncation Kernels: Noncommutativity in $C^*$-algebraic Kernel Machines
by: Hashimoto, Yuka, et al.
Published: (2024)

UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
by: Pala, Furkan, et al.
Published: (2025)

The GeometricKernels Package: Heat and Matérn Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
by: Mostowsky, Peter, et al.
Published: (2024)

Learning to Recall with Transformers Beyond Orthogonal Embeddings
by: Vural, Nuri Mert, et al.
Published: (2026)

Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels
by: Ahmad, Tamim El, et al.
Published: (2023)

Dual-Kernel Graph Community Contrastive Learning
by: Chen, Xiang, et al.
Published: (2025)

Kernel Ridge Regression Inference
by: Singh, Rahul, et al.
Published: (2023)

Kernel Learning for Regression via Quantum Annealing Based Spectral Sampling
by: Hasegawa, Yasushi, et al.
Published: (2026)

Learning to Approximate Adaptive Kernel Convolution on Graphs
by: Sim, Jaeyoon, et al.
Published: (2024)

Simplifying Graph Kernels for Efficient
by: Wang, Lin, et al.
Published: (2025)

Graph Kernel Neural Networks
by: Cosmo, Luca, et al.
Published: (2021)

Asymmetric Learning for Spectral Graph Neural Networks
by: Liu, Fangbing, et al.
Published: (2024)

Heterogeneous Graph Contrastive Learning with Spectral Augmentation
by: Zhang, Jing, et al.
Published: (2024)

Learning Time-Varying Graphs from Incomplete Graph Signals
by: Peng, Chuansen, et al.
Published: (2025)

Heterogeneous Attributed Graph Learning via Neighborhood-Aware Star Kernels
by: Huang, Hong, et al.
Published: (2025)

GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations
by: Kuzucu, Osman Onur, et al.
Published: (2026)

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

A Kernel Approach for Semi-implicit Variational Inference
by: Yu, Longlin, et al.
Published: (2026)

Semiparametrically Efficient Inference for Kernel Measures of Noise Heterogeneity
by: Wornbard, Jakub, et al.
Published: (2026)

Spectral Phase Encoding for Quantum Kernel Methods
by: Gómez, Pablo Herrero, et al.
Published: (2026)

An Efficient Real Time DDoS Detection Model Using Machine Learning Algorithms
by: Suvra, Debashis Kar
Published: (2025)

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning
by: Liu, Ruyue, et al.
Published: (2025)

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
by: Lin, Ya-Wei Eileen, et al.
Published: (2024)

Deep Hierarchical Graph Alignment Kernels
by: Tang, Shuhao, et al.
Published: (2024)

An Overview of Causal Inference using Kernel Embeddings
by: Sejdinovic, Dino
Published: (2024)

Shape-aware Graph Spectral Learning
by: Xu, Junjie, et al.
Published: (2023)