Complex Networks

HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level
A variety of methods have been proposed for modeling and mining dynamic complex networks, in which the topological structure varies …
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Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism
Recently, network embedding (NE) is an amazing research point in complex networks and devoted to a variety of tasks. Nearly, all the …
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Role-Oriented Dynamic Network Embedding
Exploring the differences and important patterns of nodes from the perspective of roles has gradually developed into an interesting and …
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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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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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