Copertina

The Transferability of Downsamped Sparse Graph Convolutional Networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Shu, Qinji, Sheng, Hang, Ji, Feng, Feng, Hui, Hu, Bo
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Signal Processing
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Subset Random Sampling of Finite Time-vertex Graph Signals
di: Sheng, Hang, et al.
Pubblicazione: (2024)

Subset Random Sampling and Reconstruction of Finite Time-Vertex Graph Signals
di: Sheng, Hang, et al.
Pubblicazione: (2025)

Sampling Theory of Jointly Bandlimited Time-vertex Graph Signals
di: Sheng, Hang, et al.
Pubblicazione: (2025)

Directed Acyclic Graph Convolutional Networks
di: Rey, Samuel, et al.
Pubblicazione: (2025)

Multi-Target Tracking with Transferable Convolutional Neural Networks
di: Owerko, Damian, et al.
Pubblicazione: (2022)

Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
di: Yan, Wenzhong, et al.
Pubblicazione: (2025)

On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
di: Zhang, Ning, et al.
Pubblicazione: (2025)

EEG-GMACN: Interpretable EEG Graph Mutual Attention Convolutional Network
di: Ye, Haili, et al.
Pubblicazione: (2024)

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

Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
di: Giraldo, Jhony H., et al.
Pubblicazione: (2024)

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding
di: Fu, Xi, et al.
Pubblicazione: (2025)

Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
di: Yan, Wenzhong, et al.
Pubblicazione: (2023)

CLEEGN: A Convolutional Neural Network for Plug-and-Play Automatic EEG Reconstruction
di: Lai, Pin-Hua, et al.
Pubblicazione: (2022)

Online Signed Sampling of Bandlimited Graph Signals
di: Liu, Wenwei, et al.
Pubblicazione: (2024)

Binarized Simplicial Convolutional Neural Networks
di: Yan, Yi, et al.
Pubblicazione: (2024)

Graph Convolutional Neural Networks to Model the Brain for Insomnia
di: Monteiro, Kevin, et al.
Pubblicazione: (2025)

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization
di: Oveisgharan, Bahar, et al.
Pubblicazione: (2026)

Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis
di: Kavianpour, Mohammadreza, et al.
Pubblicazione: (2025)

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

GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
di: Wang, Hanrui, et al.
Pubblicazione: (2020)

EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks
di: Han, Jinpei, et al.
Pubblicazione: (2023)

On Sampling of Multiple Correlated Stochastic Signals
di: Jin, Lin, et al.
Pubblicazione: (2025)

GCMCG: A Clustering-Aware Graph Attention and Expert Fusion Network for Multi-Paradigm, Multi-task, and Cross-Subject EEG Decoding
di: Chen, Yiqiao, et al.
Pubblicazione: (2025)

Sampling Transferable Graph Neural Networks with Limited Graph Information
di: Wang, Haoyu, et al.
Pubblicazione: (2024)

Learning Context-conditioned Gaussian Overbounds for Convolution-Based Uncertainty Propagation
di: Liu, Ruirui, et al.
Pubblicazione: (2026)

Improving Local Air Quality Predictions Using Transfer Learning on Satellite Data and Graph Neural Networks
di: Gueterbock, Finn, et al.
Pubblicazione: (2025)

Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
di: Mishra, Aditya, et al.
Pubblicazione: (2025)

Solving Large-scale Spatial Problems with Convolutional Neural Networks
di: Owerko, Damian, et al.
Pubblicazione: (2023)

Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
di: Yokota, Haruki, et al.
Pubblicazione: (2025)

Multi-Attribute Graph Estimation with Sparse-Group Non-Convex Penalties
di: Tugnait, Jitendra K
Pubblicazione: (2025)

Bayesian Functional Connectivity and Graph Convolutional Network for Working Memory Load Classification
di: Gangapuram, Harshini, et al.
Pubblicazione: (2024)

Angle-Equivariant Convolutional Neural Networks for Interference Mitigation in Automotive Radar
di: Oswald, Christian, et al.
Pubblicazione: (2023)

Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array
di: Hu, Yunqiao, et al.
Pubblicazione: (2024)

Generating Comprehensive Lithium Battery Charging Data with Generative AI
di: Jiang, Lidang, et al.
Pubblicazione: (2024)

Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction
di: Dempsey, Ryan G., et al.
Pubblicazione: (2025)

Map-Based Path Loss Prediction in Multiple Cities Using Convolutional Neural Networks
di: Dempsey, Ryan G., et al.
Pubblicazione: (2024)

Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
di: Galdo, Antía López, et al.
Pubblicazione: (2022)

QiVC-Net: Quantum-Inspired Variational Convolutional Network, with Application to Biosignal Classification
di: Golnari, Amin, et al.
Pubblicazione: (2025)

Graph Transfer Learning via Shared Latent Geometry: Theory and Applications
di: Wu, Tong, et al.
Pubblicazione: (2026)

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