| Data classification CC Aggarwal, CC Aggarwal Data Mining: The Textbook, 285-344, 2015 | 3134 | 2015 |
| Inferring anchor links across multiple heterogeneous social networks X Kong, J Zhang, PS Yu Proceedings of the 22nd ACM international conference on Information …, 2013 | 429 | 2013 |
| Hetesim: A general framework for relevance measure in heterogeneous networks C Shi, X Kong, Y Huang, SY Philip, B Wu IEEE Transactions on Knowledge and Data Engineering 26 (10), 2479-2492, 2014 | 313 | 2014 |
| Inferring the impacts of social media on crowdfunding CT Lu, S Xie, X Kong, PS Yu Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 304 | 2014 |
| Graph classification using structural attention JB Lee, R Rossi, X Kong Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 300 | 2018 |
| Active learning: A survey CC Aggarwal, X Kong, Q Gu, J Han, SY Philip Data classification, 599-634, 2014 | 263 | 2014 |
| Transductive Multi-Label Learning via Label Set Propagation X Kong, M Ng, Z Zhou Knowledge and Data Engineering, IEEE Transactions on, 1-1, 2011 | 212 | 2011 |
| Meta path-based collective classification in heterogeneous information networks X Kong, PS Yu, Y Ding, DJ Wild Proceedings of the 21st ACM international conference on Information and …, 2012 | 167 | 2012 |
| Semi-supervised feature selection for graph classification X Kong, PS Yu Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 154 | 2010 |
| Relevance search in heterogeneous networks C Shi, X Kong, PS Yu, S Xie, B Wu Proceedings of the 15th international conference on extending database …, 2012 | 148 | 2012 |
| Transferring heterogeneous links across location-based social networks J Zhang, X Kong, PS Yu Proceedings of the 7th ACM international conference on Web search and data …, 2014 | 147 | 2014 |
| Predicting social links for new users across aligned heterogeneous social networks J Zhang, X Kong, SY Philip 2013 IEEE 13th International Conference on Data Mining, 1289-1294, 2013 | 138 | 2013 |
| Community detection in incomplete information networks W Lin, X Kong, PS Yu, Q Wu, Y Jia, C Li Proceedings of the 21st international conference on World Wide Web, 341-350, 2012 | 120 | 2012 |
| Multi-label classification by mining label and instance correlations from heterogeneous information networks X Kong, B Cao, PS Yu Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 114 | 2013 |
| Semi-supervised clustering in attributed heterogeneous information networks X Li, Y Wu, M Ester, B Kao, X Wang, Y Zheng Proceedings of the 26th international conference on world wide web, 1621-1629, 2017 | 101 | 2017 |
| Graph convolutional networks with motif-based attention JB Lee, RA Rossi, X Kong, S Kim, E Koh, A Rao Proceedings of the 28th ACM international conference on information and …, 2019 | 96 | 2019 |
| Deep collective classification in heterogeneous information networks Y Zhang, Y Xiong, X Kong, S Li, J Mi, Y Zhu Proceedings of the 2018 world wide web conference, 399-408, 2018 | 94 | 2018 |
| Learning role-based graph embeddings NK Ahmed, R Rossi, JB Lee, TL Willke, R Zhou, X Kong, H Eldardiry arXiv preprint arXiv:1802.02896, 2018 | 93 | 2018 |
| Collective prediction of multiple types of links in heterogeneous information networks B Cao, X Kong, SY Philip 2014 IEEE international conference on data mining, 50-59, 2014 | 84 | 2014 |
| Dusk: A dual structure-preserving kernel for supervised tensor learning with applications to neuroimages L He, X Kong, PS Yu, X Yang, AB Ragin, Z Hao Proceedings of the 2014 SIAM International Conference on Data Mining, 127-135, 2014 | 82 | 2014 |
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
