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Extracting the multilevel communities based on network structural and nonstructural information.

, , and . WWW (Companion Volume), page 191-192. International World Wide Web Conferences Steering Committee / ACM, (2013)

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Discovery of Web Communities Based on the Co-Occurence of References.. Discovery Science, volume 1967 of Lecture Notes in Computer Science, page 65-75. Springer, (2000)Towards Robust Compressed Convolutional Neural Networks., , , and . BigComp, page 1-8. IEEE, (2019)Discovering and Visualizing Network Communities., and . Web Intelligence/IAT Workshops, page 217-220. IEEE Computer Society, (2007)Fast Optimization of Hamiltonian for Constrained Community Detection., and . CompleNet, volume 597 of Studies in Computational Intelligence, page 79-89. Springer, (2015)Roles of Diagrammatic Information for the Discovery of Geometrical Theorems.. Diagrams, volume 2980 of Lecture Notes in Computer Science, page 235-238. Springer, (2004)Predicting relations of embedded RDF entities by Deep Neural Network., , , , , , and . ISWC (Posters, Demos & Industry Tracks), volume 1963 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Measuring Graph Reconstruction Precisions: How Well Do Embeddings Preserve the Graph Proximity Structure?, , and . WIMS, page 25:1-25:4. ACM, (2018)An Efficient Algorithm for Optimizing Bipartite Modularity in Bipartite Networks., and . J. Adv. Comput. Intell. Intell. Informatics, 14 (4): 408-415 (2010)A method of inductive machine discovery based on experimental data acquisition., and . Syst. Comput. Jpn., 32 (4): 69-75 (2001)Modularity for Bipartite Networks.. Data Mining for Social Network Data, volume 12 of Annals of Information Systems, Springer, (2010)