Graph clustering

Learning Graph Embedding With Adversarial Training Methods
Graph embedding aims to transfer a graph into vectors to facilitate subsequent graph-analytics tasks like link prediction and graph …
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MGAE: marginalized graph autoencoder for graph clustering
Graph clustering aims to discover community structures in networks, the task being fundamentally challenging mainly because the …
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Classifying networked text data with positive and unlabeled examples
The rapid growth in the number of networked applications that naturally generate complex text data, which contains not only inner …
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