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Graph OLAP: Towards online analytical processing on graphs
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Ranking-based classification of heterogeneous information networks
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Graph regularized transductive classification on heterogeneous information networks
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M. Ji, Y. Sun, M. Danilevsky, J. Han, and J. Gao. Graph regularized transductive classification on heterogeneous information networks. In ECMLPKDD '10, Barcelona, Spain, Sept. 2010.
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Relation strength-aware clustering of heterogeneous information networks with incomplete attributes
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Istanbul, Turkey, Aug
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Y. Sun, C. C. Aggarwal, and J. Han. Relation strength-aware clustering of heterogeneous information networks with incomplete attributes. In VLDB '12/PVLDB, Istanbul, Turkey, Aug. 2012.
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Co-author relationship prediction in heterogeneous bibliographic networks
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Kaohsiung, Taiwan, July
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Y. Sun, R. Barber, M. Gupta, C. Aggarwal, and J. Han. Co-author relationship prediction in heterogeneous bibliographic networks. In ASONAM '11, Kaohsiung, Taiwan, July 2011.
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When will it happen? relationship prediction in heterogeneous information networks
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Y. Sun, J. Han, C. C. Aggarwal, and N. Chawla. When will it happen? relationship prediction in heterogeneous information networks. In WSDM '12, Seattle, WA, Feb. 2012.
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PathSim: Meta path-based top-k similarity search in heterogeneous information networks
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Y. Sun, J. Han, X. Yan, P. S. Yu, and T. Wu. PathSim: Meta path-based top-k similarity search in heterogeneous information networks. In VLDB '11/PVLDB, Seattle, WA, Aug. 2011.
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RankClus: Integrating clustering with ranking for heterogeneous information network analysis
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Saint-Petersburg, Russia, Mar
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Y. Sun, J. Han, P. Zhao, Z. Yin, H. Cheng, and T. Wu. RankClus: Integrating clustering with ranking for heterogeneous information network analysis. In EDBT '09, Saint-Petersburg, Russia, Mar. 2009.
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Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
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Beijing, China, Aug
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Y. Sun, B. Norick, J. Han, X. Yan, P. S. Yu, and X. Yu. Integrating meta-path selection with user-guided object clustering in heterogeneous information networks. In KDD '12, Beijing, China, Aug. 2012.
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Ranking-based clustering of heterogeneous information networks with star network schema
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Paris, France, June
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Y. Sun, Y. Yu, and J. Han. Ranking-based clustering of heterogeneous information networks with star network schema. In KDD '09, Paris, France, June 2009.
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Efficient aggregation for graph summarization
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Y. Tian, R. A. Hankins, and J. M. Patel. Efficient aggregation for graph summarization. In SIGMOD '08, pages 567-580, Vancouver, BC, Canada, June 2008.
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Mining advisor-advisee relationships from research publication networks
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C. Wang, J. Han, Y. Jia, J. Tang, D. Zhang, Y. Yu, and J. Guo. Mining advisor-advisee relationships from research publication networks. In KDD '10, Washington D.C., July 2010.
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Truth discovery with multiple conflicting information providers on the Web
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Knowledge and Data Engineering
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A Bayesian approach to discovering truth from conflicting sources for data integration
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Istanbul, Turkey, Aug
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Graph cube: On warehousing and OLAP multidimensional networks
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Athens, Greece, June
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P. Zhao, X. Li, D. Xin, and J. Han. Graph cube: On warehousing and OLAP multidimensional networks. In SIGMOD '11, Athens, Greece, June 2011.
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