Topic Model for Graph Mining

Graph mining has been a popular research area because of its numerous application scenarios. Many unstructured and structured data can be represented as graphs, such as, documents, chemical molecular structures, and images. However, an issue in relation to current research on graphs is that they can...

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Veröffentlicht in:	IEEE transactions on cybernetics 2015-12, Vol.45 (12), p.2792-2803
Hauptverfasser:	Xuan, Junyu, Lu, Jie, Zhang, Guangquan, Luo, Xiangfeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Allocations Chemical elements Chemicals Classification Cybernetics Data mining Data models Dirichlet problem Graph mining Graph theory Graphs Hidden Markov models Inference algorithms latent Dirichlet allocation (LDA) Learning Mining topic model Vectors
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