Improved GCN Model for Inexact Graph Matching
Aiming at the problem of mining the features of topology nodes deficiently in the existing inexact graph matching, this paper proposes an improved graph convolutional network (GCN) model for inexact graph matching. Firstly, considering that the selecting nodes should have strong representation, thre...
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| Aineistotyyppi: | Artikkeli |
| Kieli: | zho |
| Julkaistu: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2020-08-01
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| Sarja: | Jisuanji kexue yu tansuo |
| Aiheet: | |
| Linkit: | http://fcst.ceaj.org/CN/abstract/abstract2335.shtml |