Cover Image

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Keke, Cao, Wencai, Ta, Hoang, Xiao, Xiaokui, Liò, Pietro
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
by: Huang, Keke, et al.
Published: (2023)

A Robust Probabilistic Approach to Stochastic Subspace Identification
by: O'Connell, Brandon J., et al.
Published: (2023)

MeixnerNet: Adaptive and Robust Spectral Graph Neural Networks with Discrete Orthogonal Polynomials
by: Goksu, Huseyin
Published: (2025)

Subspace Projection Methods for Fast Spectral Embeddings of Evolving Graphs
by: Eini, Mohammad, et al.
Published: (2026)

Subspace Clustering of Subspaces: Unifying Canonical Correlation Analysis and Subspace Clustering
by: Karakasis, Paris A., et al.
Published: (2025)

Online Graph Filtering Over Expanding Graphs
by: Das, Bishwadeep, et al.
Published: (2024)

Online Graph Topology Learning via Time-Vertex Adaptive Filters: From Theory to Cardiac Fibrillation
by: Jenkins, Alexander, et al.
Published: (2024)

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

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
by: Shmuel, Dor H., et al.
Published: (2023)

Time-Frequency Filtering Meets Graph Clustering
by: Colominas, Marcelo A., et al.
Published: (2025)

Differentiable Adaptive Kalman Filtering via Optimal Transport
by: He, Yangguang, et al.
Published: (2025)

Learning Graph from Smooth Signals under Partial Observation: A Robustness Analysis
by: Nguyen, Hoang-Son, et al.
Published: (2025)

Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
by: Chughtai, Aamir Hussain
Published: (2025)

Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
by: Lin, Zhidi, et al.
Published: (2023)

ERGNN: Spectral Graph Neural Network With Explicitly-Optimized Rational Graph Filters
by: Li, Guoming, et al.
Published: (2024)

KrawtchoukNet: A Unified GNN Solution for Heterophily and Over-smoothing with Adaptive Bounded Polynomials
by: Goksu, Huseyin
Published: (2025)

Matched Topological Subspace Detector
by: Liu, Chengen, et al.
Published: (2025)

CredibleDFGO: Differentiable Factor Graph Optimization with Credibility Supervision
by: Qian, Liang, et al.
Published: (2026)

Nonparametric Bellman Mappings for Reinforcement Learning: Application to Robust Adaptive Filtering
by: Akiyama, Yuki, et al.
Published: (2024)

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

ALPCAHUS: Subspace Clustering for Heteroscedastic Data
by: Cavazos, Javier Salazar, et al.
Published: (2025)

On the Interaction Between Chicken Swarm Rejuvenation and KLD-Adaptive Sampling in Particle Filters
by: Tian, Hangshuo
Published: (2025)

Stochastic Sequential Decision Making over Expanding Networks with Graph Filtering
by: Gao, Zhan, et al.
Published: (2026)

LaguerreNet: Advancing a Unified Solution for Heterophily and Over-smoothing with Adaptive Continuous Polynomials
by: Goksu, Huseyin
Published: (2025)

Truncated Polynomial Expansion-Based Detection in Massive MIMO: A Model-Driven Deep Learning Approach
by: Izadinasab, Kazem, et al.
Published: (2024)

EMORF-II: Adaptive EM-based Outlier-Robust Filtering with Correlated Measurement Noise
by: Majal, Arslan, et al.
Published: (2025)

ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data
by: Cavazos, Javier Salazar, et al.
Published: (2025)

Domain Adaptive Unfolded Graph Neural Networks
by: Zhang, Zepeng, et al.
Published: (2024)

Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation
by: Yan, Yi, et al.
Published: (2023)

Near Field Localization via AI-Aided Subspace Methods
by: Gast, Arad, et al.
Published: (2025)

Optimizing $k$ in $k$NN Graphs with Graph Learning Perspective
by: Tamaru, Asuka, et al.
Published: (2024)

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

Compressed Sensing: A Discrete Optimization Approach
by: Bertsimas, Dimitris, et al.
Published: (2023)

Cross-Channel Unlabeled Sensing over a Union of Signal Subspaces
by: Koka, Taulant, et al.
Published: (2025)

Classification Filtering
by: Bayram, Ilker
Published: (2025)

Adaptive Diagonal Loading using Krylov Subspaces for Robust Beamforming
by: Mittal, Manan, et al.
Published: (2026)

Adaptive Least Mean pth Power Graph Neural Networks
by: Yan, Yi, et al.
Published: (2024)

Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening
by: Li, Guoming, et al.
Published: (2025)

Composite Reward Design in PPO-Driven Adaptive Filtering
by: Bereketoglu, Abdullah Burkan
Published: (2025)

Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition
by: Feng, Tianzhi, et al.
Published: (2025)