Cover Image

Sampling Transferable Graph Neural Networks with Limited Graph Information

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Haoyu, Ma, Renyuan, Mateos, Gonzalo, Ruiz, Luana
Format:	Preprint
Published:	2024
Subjects:	Signal Processing Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Generative Model for Controllable Feature Heterophily in Graphs
by: Wang, Haoyu, et al.
Published: (2025)

Bearing Fault Diagnosis using Graph Sampling and Aggregation Network
by: Chen, Jiaying, et al.
Published: (2024)

A Hybrid Graph Neural Network for Enhanced EEG-Based Depression Detection
by: Wang, Yiye, et al.
Published: (2024)

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

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

Physics-Enhanced Graph Neural Networks For Soft Sensing in Industrial Internet of Things
by: Niresi, Keivan Faghih, et al.
Published: (2024)

EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
by: Aung, Htoo Wai, et al.
Published: (2024)

GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm
by: Zheng, Chunhang, et al.
Published: (2024)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA
by: Nakano, Hiroshi, et al.
Published: (2025)

A Spectral Framework for Graph Neural Operators: Convergence Guarantees and Tradeoffs
by: Holden, Roxanne, et al.
Published: (2025)

A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network
by: Ye, Miao, et al.
Published: (2025)

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

Graph Neural Networks for Physical-Layer Security in Multi-User Flexible-Duplex Networks
by: Perera, Tharaka, et al.
Published: (2024)

Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction
by: Costantino, Giuseppe, et al.
Published: (2024)

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

Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach
by: Li, Guoming, et al.
Published: (2024)

H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses
by: Gu, Haidong, et al.
Published: (2024)

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

A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems
by: Yang, Xiaoke, et al.
Published: (2026)

TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
by: Li, Zhongzhi, et al.
Published: (2024)

Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuning
by: Suzumura, Toyotaro, et al.
Published: (2024)

Lightweight and Interpretable Transformer via Mixed Graph Algorithm Unrolling for Traffic Forecast
by: Qi, Ji, et al.
Published: (2025)

MambaNet: Mamba-assisted Channel Estimation Neural Network With Attention Mechanism
by: Luan, Dianxin, et al.
Published: (2026)

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis
by: Chen, Qian, et al.
Published: (2022)

Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
by: Afzali, Amirabbas, et al.
Published: (2024)

The Case for Cleaner Biosignals: High-fidelity Neural Compressor Enables Transfer from Cleaner iEEG to Noisier EEG
by: Carzaniga, Francesco Stefano, et al.
Published: (2025)

EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
by: Aung, Htoo Wai, et al.
Published: (2024)

Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals
by: Han, Hyeon-Taek, et al.
Published: (2024)

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

SANGRIA: Stacked Autoencoder Neural Networks with Gradient Boosting for Indoor Localization
by: Gufran, Danish, et al.
Published: (2024)

Disentangling Neurodegeneration with Brain Age Gap Prediction Models: A Graph Signal Processing Perspective
by: Sihag, Saurabh, et al.
Published: (2025)

PITN: Physics-Informed Temporal Networks for Cuffless Blood Pressure Estimation
by: Wang, Rui, et al.
Published: (2024)

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
by: Burrello, Alessio, et al.
Published: (2024)

Coronary Artery Disease Classification Using One-dimensional Convolutional Neural Network
by: Phoemsuk, Atitaya, et al.
Published: (2024)

Comparative analysis of Realistic EMF Exposure Estimation from Low Density Sensor Network by Finite & Infinite Neural Networks
by: Mallik, Mohammed, et al.
Published: (2025)

Improved Image Classification with Manifold Neural Networks
by: Netto, Caio F. Deberaldini, et al.
Published: (2024)

Seismic First Break Picking in a Higher Dimension Using Deep Graph Learning
by: Wang, Hongtao, et al.
Published: (2024)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing
by: Tew, Hwa Hui, et al.
Published: (2025)

2D-RC: Two-Dimensional Neural Network Approach for OTFS Symbol Detection
by: Xu, Jiarui, et al.
Published: (2023)

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