JOURNAL ARTICLE

Multi-level hierarchical dynamic graph convolutional networks for motor imagery EEG analysis

Xin DengDaijiang XuHuaxiang HuoXinyi HongBin Liu

Year: 2025 Journal:   Neurocomputing Vol: 626 Pages: 129594-129594   Publisher: Elsevier BV
Keywords:
Computer science Motor imagery Electroencephalography Graph Artificial intelligence Pattern recognition (psychology) Convolutional neural network Power graph analysis Brain–computer interface Theoretical computer science Psychology Neuroscience

Metrics

5
Cited By
20.42
FWCI (Field Weighted Citation Impact)
45
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Functional Brain Connectivity Studies
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Emotion and Mood Recognition
Social Sciences →  Psychology →  Experimental and Cognitive Psychology

Related Documents

JOURNAL ARTICLE

Research on Motor Imagery EEG Signals Based on Dynamic Graph Convolutional Neural Networks

正康 周

Journal:   Computer Science and Application Year: 2024 Vol: 14 (04)Pages: 268-275
JOURNAL ARTICLE

Adaptive Spatiotemporal Graph Convolutional Networks for Motor Imagery Classification

Biao SunHan ZhangZexu WuYunyan ZhangTing Li

Journal:   IEEE Signal Processing Letters Year: 2021 Vol: 28 Pages: 219-223
JOURNAL ARTICLE

Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting

Zhuangzhuang MiaoYong ZhangHao RenYongli HuBaocai Yin

Journal:   IEEE Transactions on Intelligent Transportation Systems Year: 2023 Vol: 25 (5)Pages: 3483-3495
© 2026 ScienceGate Book Chapters — All rights reserved.