| A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, SY Philip IEEE transactions on neural networks and learning systems, 2020 | 1366 | 2020 |
| Association rule mining: models and algorithms C Zhang, S Zhang Springer, 2003 | 668 | 2003 |
| Efficient mining of both positive and negative association rules X Wu, C Zhang, S Zhang ACM Transactions on Information Systems (TOIS) 22 (3), 381-405, 2004 | 584 | 2004 |
| Data preparation for data mining S Zhang, C Zhang, Q Yang Applied artificial intelligence 17 (5-6), 375-381, 2003 | 539 | 2003 |
| Disan: Directional self-attention network for rnn/cnn-free language understanding T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 431 | 2018 |
| Tri-party deep network representation S Pan, J Wu, X Zhu, C Zhang, Y Wang Network 11 (9), 12, 2016 | 316 | 2016 |
| Network representation learning: A survey D Zhang, J Yin, X Zhu, C Zhang IEEE transactions on Big Data 6 (1), 3-28, 2018 | 279 | 2018 |
| Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support X Yan, C Zhang, S Zhang Expert Systems with Applications 36 (2), 3066-3076, 2009 | 239 | 2009 |
| Adversarially regularized graph autoencoder for graph embedding S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang arXiv preprint arXiv:1802.04407, 2018 | 219 | 2018 |
| Mining both positive and negative association rules X Wu, C Zhang, S Zhang ICML 2, 658-665, 2002 | 217 | 2002 |
| KDD'15: Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining L Cao, C Zhang, T Joachims, GIB Webb, D Margineantu, G Williams Association for Computing Machinery (ACM), 2015 | 180 | 2015 |
| Multi-database mining S Zhang, X Wu, C Zhang IEEE Computational Intelligence Bulletin 2 (1), 5-13, 2003 | 164 | 2003 |
| Support vector machines based on K-means clustering for real-time business intelligence systems J Wang, X Wu, C Zhang International Journal of Business Intelligence and Data Mining 1 (1), 54-64, 2005 | 160 | 2005 |
| Database classification for multi-database mining X Wu, C Zhang, S Zhang Information Systems 30 (1), 71-88, 2005 | 159 | 2005 |
| Probabilistic exposure fusion M Song, D Tao, C Chen, J Bu, J Luo, C Zhang IEEE Transactions on Image Processing 21 (1), 341-357, 2011 | 147 | 2011 |
| An information filtering model on the Web and its application in JobAgent Y Li, C Zhang, JR Swan Knowledge-Based Systems 13 (5), 285-296, 2000 | 146 | 2000 |
| Agent-based hybrid intelligent systems: an agent-based framework for complex problem solving Z Zhang, C Zhang Springer, 2004 | 141* | 2004 |
| Modeling location-based user rating profiles for personalized recommendation H Yin, B Cui, L Chen, Z Hu, C Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (3), 1-41, 2015 | 134 | 2015 |
| Efficient approximate entity extraction with edit distance constraints W Wang, C Xiao, X Lin, C Zhang Proceedings of the 2009 ACM SIGMOD International Conference on Management of …, 2009 | 132 | 2009 |
| Semi-parametric optimization for missing data imputation Y Qin, S Zhang, X Zhu, J Zhang, C Zhang Applied Intelligence 27 (1), 79-88, 2007 | 130 | 2007 |
Guodong LongAssociate Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
