Semi-supervised Learning on Graphs Using Adversarial Training with Generated Sample
Given a graph composed of a small number of labeled nodes and a large number of unlabeled nodes, semi-supervised learning on graphs aims to assign labels for the unlabeled nodes. Generative adversarial networks have shown strong ability in semi-supervised learning, but the research of generative adv...
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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2023-02-01
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| Серии: | Jisuanji kexue yu tansuo |
| Предметы: | |
| Online-ссылка: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2104119.pdf |
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