Meta-path based multi-network collective link prediction

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2014, Pages 1286-1295

  Zhang, Jiawei ^a   Yu, Philip S ^a   Zhou, Zhi Hua ^b  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^b NANJING UNIVERSITY   (China)

Author keywords

classification; data mining; link prediction; transfer learning

Indexed keywords

EID: 84907019187     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2623330.2623645     Document Type: Conference Paper

References (28)

1. M. Bilgic, G. Namata, and L. Getoor. Combining collective classification and link prediction. In ICDMW, 2007.
2. C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.
3. E. Cho, S. Myers, and J. Leskovec. Friendship and mobility: user movement in location-based social networks. In KDD, 2011.
4. P. Domingos and M. Richardson. Markov logic: A unifying framework for statistical relational learning. In ICML Workshop, 2004.
5. C. Elkan and K. Noto. Learning classifiers from only positive and unlabeled data. In KDD, 2008.
6. F. Fouss, A. Pirotte, J. Renders, and M. Saerens. Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. TKDE, 2007.
7. L. Getoor and C. P. Diehl. Link mining: A survey. SIGKDD Explorations Newsletter, 7(2), 2005.
8. M. Hasan, V. Chaoji, S. Salem, and M. Zaki. Link prediction using supervised learning. In SDM, 2006.
9. M. Hasan and M. J. Zaki. A survey of link prediction in social networks. In Charu C. Aggarwal, editor, Social Network Data Analytics. 2011.
10. X. Kong, J. Zhang, and P. Yu. Inferring anchor links across multiple heterogeneous social networks. In CIKM, 2013.
11. I. Konstas, V. Stathopoulos, and J. M. Jose. On social networks and collaborative recommendation. In SIGIR, 2009.
12. D. Liben-Nowell and J. Kleinberg. The link prediction problem for social networks. In CIKM, 2003.
13. B. Liu, Y. Dai, X. Li, W. Lee, and P. Yu. Building text classifiers using positive and unlabeled examples. In ICDM, 2003.
14. Z. Lu, B. Savas, W. Tang, and I. Dhillon. Supervised link prediction using multiple sources. In ICDM, 2010.
15. S. Pan and Q. Yang. A survey on transfer learning. TKDE, 2010.
16. S. Scellato, A. Noulas, and C. Mascolo. Exploiting place features in link prediction on location-based social networks. In KDD, 2011.
17. Y. Sun, J. Han, X. Yan, P. Yu, and T. Wu. Pathsim: Meta path-based top-k similarity search in heterogeneous information networks. PVLDB, 2011.
18. B. Tan, E. Xiang, Q. Yang, and E. Zhong. Multi-transfer: Transfer learning with multiple views and multiple sources. In SDM, 2013.
19. J. Tang, T. Lou, and J. Kleinberg. Inferring social ties across heterogenous networks. In WSDM, 2012.
20. D. Wang, D. Pedreschi, C. Song, F. Giannotti, and A. Barabasi. Human mobility, social ties, and link prediction. In KDD, 2011.
21. K. Wilcox and A. T. Stephen. Are close friends the enemy? online social networks, self-esteem, and self-control. Journal of Consumer Research, 2012.
22. Y. Yao, H. Tong, X. Yan, F. Xu, and J. Lu. Matri: a multi-aspect and transitive trust inference model. In WWW, 2013.
23. J. Ye, H. Cheng, Z. Zhu, and M. Chen. Predicting positive and negative links in signed social networks by transfer learning. In WWW, 2013.
24. M. Ye, P. Yin, and W. Lee. Location recommendation for location-based social networks. In GIS, 2010.
25. J. Zhang, X. Kong, and P. Yu. Predicting social links for new users across aligned heterogeneous social networks. In ICDM, 2013.
26. J. Zhang, X. Kong, and P. Yu. Transfer heterogeneous links across location-based social networks. In WSDM, 2014.
27. J. Zhang and P. Yu. Link prediction across heterogeneous social networks: A survey. 2014.
28. Y. Zhao, X. Kong, and P. Yu. Positive and unlabeled learning for graph classification. In ICDM, 2011.