SEAL trains a graph embedding network and a semisupervised discriminator adversarially so that the discriminator's divergence score selects which unlabeled nodes to label, improving node classification accuracy over prior active learning baselines.
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SEAL: Semi-supervised Adversarial Active Learning on Attributed Graphs
SEAL trains a graph embedding network and a semisupervised discriminator adversarially so that the discriminator's divergence score selects which unlabeled nodes to label, improving node classification accuracy over prior active learning baselines.