Inferring local topology via variational convolution for graph representation
The development of deep learning techniques and support of big data computing power have revolutionized graph representation research by facilitating the implementation of the learning of different graph neural network structures. Existing methods, such as graph attention networks, mainly focus on g...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Science Press
2023-10-01
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| シリーズ: | 工程科学学报 |
| 主題: | |
| オンライン･アクセス: | http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2022.07.24.005 |
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