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Hybrid-order Stochastic Block Model
Community detection is a research hotspot in machine learning and data mining. However, most of the existing community detection …
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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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Modeling with Node Popularities for Autonomous Overlapping Community Detection
Overlapping community detection has triggered recent research in network analysis. One of the promising techniques for finding …
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Variational autoencoder based bipartite network embedding by integrating local and global structure
As a powerful tool for machine learning on the graph, network embedding, which projects nodes into low-dimensional spaces, has a …
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