Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification

被引:0
|
作者
University of Minnesota, College of Engineering and Science, Department of Computer Science, Minneapolis [1 ]
MN
55455, United States
不详 [2 ]
MN
55455, United States
机构
来源
IEEE Trans. Neural Syst. Rehabil. Eng. | 1600年 / 404-419卷 / 2025期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
79
引用
收藏
相关论文
共 50 条
  • [31] Graph Neural Networks With Parallel Neighborhood Aggregations for Graph Classification
    Doshi, Siddhant
    Chepuri, Sundeep Prabhakar
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2022, 70 : 4883 - 4896
  • [32] Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification
    Wang, Xin
    Chang, Heng
    Xie, Beini
    Bian, Tian
    Zhou, Shiji
    Wang, Daixin
    Zhang, Zhiqiang
    Zhu, Wenwu
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36 (05) : 2166 - 2178
  • [33] GNNGLY: Graph Neural Networks for Glycan Classification
    Alkuhlani, Alhasan
    Gad, Walaa
    Roushdy, Mohamed
    Salem, Abdel-Badeeh M.
    IEEE ACCESS, 2023, 11 : 51838 - 51847
  • [34] A comparison of graph neural networks for malware classification
    Malhotra, Vrinda
    Potika, Katerina
    Stamp, Mark
    JOURNAL OF COMPUTER VIROLOGY AND HACKING TECHNIQUES, 2024, 20 (01) : 53 - 69
  • [35] Recurrent Graph Neural Networks for Text Classification
    Wei, Xinde
    Huang, Hai
    Ma, Longxuan
    Yang, Ze
    Xu, Liutong
    PROCEEDINGS OF 2020 IEEE 11TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2020), 2020, : 91 - 97
  • [36] Quantized Graph Neural Networks for Image Classification
    Xu, Xinbiao
    Ma, Liyan
    Zeng, Tieyong
    Huang, Qinghua
    MATHEMATICS, 2023, 11 (24)
  • [37] A comparison of graph neural networks for malware classification
    Vrinda Malhotra
    Katerina Potika
    Mark Stamp
    Journal of Computer Virology and Hacking Techniques, 2024, 20 : 53 - 69
  • [38] On Calibration of Graph Neural Networks for Node Classification
    Liu, Tong
    Liu, Yushan
    Hildebrandt, Marcel
    Joblin, Mitchell
    Li, Hang
    Tresp, Volker
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [39] Graph Neural Networks for IceCube Signal Classification
    Choma, Nicholas
    Monti, Federico
    Gerhardt, Lisa
    Palczewski, Tomasz
    Ronaghi, Zahra
    Prabhat
    Bhimji, Wahid
    Bronstein, Michael M.
    Klein, Spencer R.
    Bruna, Joan
    2018 17TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA), 2018, : 386 - 391
  • [40] Adaptive Spatiotemporal Graph Convolutional Networks for Motor Imagery Classification
    Sun, Biao
    Zhang, Han
    Wu, Zexu
    Zhang, Yunyan
    Li, Ting
    IEEE SIGNAL PROCESSING LETTERS, 2021, 28 : 219 - 223