Virtual Adversarial Training

Virtual Adversarial Training on Graph ConvolutionalNetworks in Node Classification

The effectiveness of Graph Convolutional Networks (GCNs) has been demonstrated in a wide range of graph-based machine learning tasks. However, the update of parameters in GCNs is only from labeled nodes, lacking the utilization of unlabeled data. In …