AdaGCN combines graph convolutional networks with adversarial domain adaptation to classify nodes in an unlabeled target network using labels from a related source network.
Analysis of representations for domain adaptation,
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Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
AdaGCN combines graph convolutional networks with adversarial domain adaptation to classify nodes in an unlabeled target network using labels from a related source network.