Batch Virtual Adversarial Training for Graph Convolutional Networks

25 Feb 2019Zhijie DengYinpeng DongJun Zhu

We present batch virtual adversarial training (BVAT), a novel regularization method for graph convolutional networks (GCNs). BVAT addresses the shortcoming of GCNs that do not consider the smoothness of the model's output distribution against local perturbations around the input... (read more)

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