Learning Network Embedding with Community Structural Information
暂无分享,去创建一个
Ying Wang | Tingting Zhang | Jiawei Zhang | Yu Li | Yi Chang | Yi Chang | Jiawei Zhang | Ting-mo Zhang | Ying Wang | Yu Li
[1] David J. Hand,et al. Statistics and computing: the genesis of data science , 2015, Statistics and Computing.
[2] Jure Leskovec,et al. Overlapping community detection at scale: a nonnegative matrix factorization approach , 2013, WSDM.
[3] Kevin Chen-Chuan Chang,et al. Learning Community Embedding with Community Detection and Node Embedding on Graphs , 2017, CIKM.
[4] Heng Huang,et al. Self-Paced Network Embedding , 2018, KDD.
[5] Xing Xie,et al. High-order Proximity Preserving Information Network Hashing , 2018, KDD.
[6] P. Van Mieghem,et al. THE EUROPEAN PHYSICAL JOURNAL B Maximum modular graphs , 2012 .
[7] M E J Newman,et al. Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[8] Ieee Xplore,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Jiawei Han,et al. ACM Transactions on Knowledge Discovery from Data: Introduction , 2007 .
[10] Jian Pei,et al. Arbitrary-Order Proximity Preserved Network Embedding , 2018, KDD.
[11] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[12] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[13] Kun He,et al. Local Spectral Clustering for Overlapping Community Detection , 2018, ACM Trans. Knowl. Discov. Data.
[14] Noah A. Smith,et al. Proceedings of NIPS , 2010, NIPS 2010.
[15] Jure Leskovec,et al. Community-Affiliation Graph Model for Overlapping Network Community Detection , 2012, 2012 IEEE 12th International Conference on Data Mining.
[16] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[17] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[18] Qiongkai Xu,et al. GraRep: Learning Graph Representations with Global Structural Information , 2015, CIKM.
[19] Zhiyuan Liu,et al. Fast Network Embedding Enhancement via High Order Proximity Approximation , 2017, IJCAI.
[20] Wenwu Zhu,et al. Structural Deep Network Embedding , 2016, KDD.
[21] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[22] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[23] Mark Newman,et al. Detecting community structure in networks , 2004 .
[24] Fei Wang,et al. Community discovery using nonnegative matrix factorization , 2011, Data Mining and Knowledge Discovery.
[25] Lukasz Kurgan,et al. Data Mining and Knowledge Discovery Data Mining and Knowledge Discovery , 2002 .
[26] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[27] Stefanos Zafeiriou,et al. Non-Negative Matrix Factorizations for Multiplex Network Analysis , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] Jian Pei,et al. Community Preserving Network Embedding , 2017, AAAI.
[29] Alexander Dekhtyar,et al. Information Retrieval , 2018, Lecture Notes in Computer Science.
[30] Mark E. J. Newman,et al. Stochastic blockmodels and community structure in networks , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[31] Mikhail Belkin,et al. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering , 2001, NIPS.
[32] O. Bagasra,et al. Proceedings of the National Academy of Sciences , 1914, Science.
[33] Huan Liu,et al. Leveraging social media networks for classification , 2011, Data Mining and Knowledge Discovery.
[34] Lada A. Adamic,et al. The political blogosphere and the 2004 U.S. election: divided they blog , 2005, LinkKDD '05.
[35] Gesine Reinert,et al. Efficient method for estimating the number of communities in a network , 2017, Physical review. E.
[36] Mingzhe Wang,et al. LINE: Large-scale Information Network Embedding , 2015, WWW.