Isomorphic Graph Classification Model Based on Reconstruction Error
At present, the application of deep learning method in graph classification model focuses on the migration of convolutional neural network to graph data field, including redefinition of convolutional layer and pooling layer. Generalization of convolution operation to graph data is an effective metho...
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| Format: | Article |
| Language: | zho |
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Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2022-01-01
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| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2009049.pdf |