Virtual Adversarial Training on Graph Convolutional Networks in Node Classification

28 Feb 2019Ke SunZhouchen LinHantao GuoZhanxing Zhu

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... (read more)

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