UAGA aligns two graph embedding spaces via adversarial training in a fully unsupervised setting, with an incremental extension iUAGA that uses discovered pseudo-anchors to refine both embeddings and alignments.
Line: Large-scale information network embedding,
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Unsupervised Adversarial Graph Alignment with Graph Embedding
UAGA aligns two graph embedding spaces via adversarial training in a fully unsupervised setting, with an incremental extension iUAGA that uses discovered pseudo-anchors to refine both embeddings and alignments.