Batch virtual adversarial training for graph convolutional networks
We present batch virtual adversarial training (BVAT), a novel regularization method for graph convolutional networks (GCNs). BVAT addresses the issue that GCNs do not ensure the smoothness of the model’s output distribution against local perturbations around the input node features. We propose two a...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
KeAi Communications Co. Ltd.
2023-01-01
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| シリーズ: | AI Open |
| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S2666651023000098 |
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