GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals

16 June 2020

Papers citing "GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals"

5 / 5 papers shown

Title
EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-based Gait Decoding Xi Fu Rui Liu Aung Aung Phyo Wai Hannah Pulferer Neethu Robinson Gernot R Müller-Putz Cuntai Guan 29 0 0 02 Apr 2025
Exact Fit Attention in Node-Holistic Graph Convolutional Network for Improved EEG-Based Driver Fatigue Detection Meiyan Xu Qingqing Chen Duo Chen Yi Ding Jingyuan Wang Peipei Gu Yijie Pan Deshuang Huang Xun Zhang Jiayang Guo 39 0 0 28 Jan 2025
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach Xin-Yue Zhou Jingru Feng Jian Wang Jianhong Pan 27 7 0 30 Jun 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 45 97 0 29 Mar 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 263 1,812 0 25 Nov 2016