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Revisiting convolutional neural network on graphs with polynomial approximations of Laplace–Beltrami spectral filtering.

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Title: Revisiting convolutional neural network on graphs with polynomial approximations of Laplace–Beltrami spectral filtering.
Authors: Huang, Shih-Gu1, Chung, Moo K.2, Qiu, Anqi3, bieqa@nus.edu.sg
Source: Neural Computing & Applications; Oct2021, Vol. 33 Issue 20, p13693-13704, 12p
Database: Applied Science & Technology Source
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  Data: Revisiting convolutional neural network on graphs with polynomial approximations of Laplace–Beltrami spectral filtering.
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  Data: <searchLink fieldCode="AU" term="%22Huang%2C+Shih-Gu%22">Huang, Shih-Gu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Chung%2C+Moo+K%2E%22">Chung, Moo K.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Qiu%2C+Anqi%22">Qiu, Anqi</searchLink><relatesTo>3</relatesTo>, <i>bieqa@nus.edu.sg</i>
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      – Type: doi
        Value: 10.1007/s00521-021-06006-6
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 13693
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      – TitleFull: Revisiting convolutional neural network on graphs with polynomial approximations of Laplace–Beltrami spectral filtering.
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            NameFull: Huang, Shih-Gu
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            NameFull: Chung, Moo K.
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            NameFull: Qiu, Anqi
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              Text: Oct2021
              Type: published
              Y: 2021
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              Value: 33
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              Value: 20
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            – TitleFull: Neural Computing & Applications
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