Cover Image

Stochastic Sequential Decision Making over Expanding Networks with Graph Filtering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Zhan, Das, Bishwadeep, Isufi, Elvin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Online Learning Of Expanding Graphs
by: Rey, Samuel, et al.
Published: (2024)

CoVariance Filters and Neural Networks over Hilbert Spaces
by: Battiloro, Claudio, et al.
Published: (2025)

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

Learning Product Graphs from Two-dimensional Stationary Signals
by: Buciulea, Andrei, et al.
Published: (2025)

Graph signal aware decomposition of dynamic networks via latent graphs
by: Das, Bishwadeep, et al.
Published: (2025)

Topological Kalman Filtering on Cell Complexes
by: Liu, Chengen, et al.
Published: (2026)

Simplicial Convolutional Filters
by: Yang, Maosheng, et al.
Published: (2022)

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

Graph Neural Networks over the Air for Decentralized Tasks in Wireless Networks
by: Gao, Zhan, et al.
Published: (2023)

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

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

Tracking Network Dynamics using Probabilistic State-Space Models
by: Tenorio, Victor M., et al.
Published: (2024)

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

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

Introducing Graph Learning over Polytopic Uncertain Graph
by: Kishida, Masako, et al.
Published: (2024)

Sparse Covariance Neural Networks
by: Cavallo, Andrea, et al.
Published: (2024)

Robust Stochastically-Descending Unrolled Networks
by: Hadou, Samar, et al.
Published: (2023)

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach
by: Huang, Keke, et al.
Published: (2024)

Conformal Inference for Time Series over Graphs
by: Dua, Sonakshi, et al.
Published: (2025)

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

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

Learning Networks from Wide-Sense Stationary Stochastic Processes
by: Rayas, Anirudh, et al.
Published: (2024)

Exploiting the Structure of Two Graphs with Graph Neural Networks
by: Tenorio, Victor M., et al.
Published: (2024)

Sequential Weakly Labeled Multi-Activity Localization and Recognition on Wearable Sensors using Recurrent Attention Networks
by: Wang, Kun, et al.
Published: (2020)

Manifold Filter-Combine Networks
by: Johnson, David R., et al.
Published: (2023)

Directed Acyclic Graph Convolutional Networks
by: Rey, Samuel, et al.
Published: (2025)

Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network
by: Xie, Tian
Published: (2024)

Convolutional Filtering with RKHS Algebras
by: Parada-Mayorga, Alejandro, et al.
Published: (2024)

Graph Neural Networks for Resource Allocation in Multi-Channel Wireless Networks
by: Chen, Lili, et al.
Published: (2025)

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

The Transferability of Downsamped Sparse Graph Convolutional Networks
by: Shu, Qinji, et al.
Published: (2024)

Over-the-Air Inference over Multi-hop MIMO Networks
by: Bian, Chenghong, et al.
Published: (2025)

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

Learning Optimal Graph Filters for Clustering of Attributed Graphs
by: Ortiz-Bouza, Meiby, et al.
Published: (2022)

On the Impact of Sampling on Deep Sequential State Estimation
by: Calatrava, Helena, et al.
Published: (2023)

Scalable Power Control/Beamforming in Heterogeneous Wireless Networks with Graph Neural Networks
by: Zhang, Xiaochen, et al.
Published: (2021)

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration
by: Serbest, Sanberk, et al.
Published: (2025)

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

Generalization of Graph Neural Networks is Robust to Model Mismatch
by: Wang, Zhiyang, et al.
Published: (2024)