Multiplexing

Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
Network embedding is an important class of link prediction methods, which can use the distance between learned low-dimensional node …
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An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding
The dependencies across different layers are an important property in multiplex networks and a few methods have been proposed to learn …
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Detecting Communities with Multiplex Semantics by Distinguishing Background, General, and Specialized Topics
Finding semantic communities using network topology and contents together is a hot topic in community detection. Existing methods often …
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