Stebėti
Xiangnan Kong
Pavadinimas
Cituota
Cituota
Metai
Data classification
CC Aggarwal, CC Aggarwal
Data Mining: The Textbook, 285-344, 2015
34012015
Inferring anchor links across multiple heterogeneous social networks
X Kong, J Zhang, PS Yu
Proceedings of the 22nd ACM international conference on Information …, 2013
4382013
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
3292014
Graph classification using structural attention
JB Lee, R Rossi, X Kong
Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018
3252018
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
3242014
Active learning: A survey
CC Aggarwal, X Kong, Q Gu, J Han, SY Philip
Data classification, 599-634, 2014
2992014
Transductive Multi-Label Learning via Label Set Propagation
X Kong, M Ng, Z Zhou
Knowledge and Data Engineering, IEEE Transactions on, 1-1, 2011
2142011
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
1722012
Semi-supervised feature selection for graph classification
X Kong, PS Yu
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
1542010
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
1502014
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
1472012
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
1332013
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
1172018
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
1172012
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
1122013
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
1102019
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
1092017
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
1012018
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
892014
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
862014
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