Multi-Granularity Graph Convolution Network for Major Depressive Disorder Recognition
Author:
Affiliation:
1. Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR) and the School of Software, Shandong University, Jinan, China
2. School of Information Science and Engineering, Shandong Normal University, Jinan, China
Funder
Taishan Scholar Program of Shandong Province of China
Shandong Provincial Natural Science Foundation
Shandong Provincial Outstanding Youth Science Foundation
Fundamental Research Funds of Shandong University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10398877/10238750.pdf?arnumber=10238750
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Artificial Intelligence in Emotion Quantification : A Prospective Overview;CAAI Artificial Intelligence Research;2024-12
2. Spatio-temporal features based deep learning model for depression detection using two electrodes;Measurement Science and Technology;2024-05-29
3. Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition;Lecture Notes in Computer Science;2024
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