| Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning X Xu, W Feng, Y Jiang, X Xie, Z Sun, ZH Deng ICLR 2020 (arXiv:1909.11334 [cs.AI]), 2020 | 84 | 2020 |
| Mining erasable itemsets ZH Deng, GD Fang, ZH Wang, XR Xu 2009 International Conference on Machine Learning and Cybernetics 1, 67-73, 2009 | 78 | 2009 |
| Fast mining erasable itemsets using NC_sets ZH Deng, XR Xu Expert Systems with Applications 39 (4), 4453-4463, 2012 | 77 | 2012 |
| Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation Y Zhang, X Xu, H Zhou, Y Zhang WSDM 2020, 2020 | 75 | 2020 |
| An efficient algorithm for mining erasable itemsets Z Deng, X Xu Advanced Data Mining and Applications: 6th International Conference, ADMA …, 2010 | 47 | 2010 |
| Mining top K spread sources for a specific topic and a given node W Liu, ZH Deng, L Cao, X Xu, H Liu, X Gong IEEE transactions on cybernetics 45 (11), 2472-2483, 2014 | 20 | 2014 |
| Hulu video recommendation: from relevance to reasoning X Xu, L Chen, S Zu, H Zhou Proceedings of the 12th ACM Conference on Recommender Systems, 482-482, 2018 | 6 | 2018 |
| Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs X Xu, S Zu, Y Zhang, H Zhou, W Feng NeurIPS 2018 Deep Reinforcement Learning Workshop, 2018 | 5 | 2018 |
| BibClus: A clustering algorithm of bibliographic networks by message passing on center linkage structure X Xu, ZH Deng 2011 IEEE 11th International Conference on Data Mining, 864-873, 2011 | 5 | 2011 |
| Mining top-rank-k erasable itemsets Z Deng, X Xu ICIC Express Letter 5 (1), 15-20, 2011 | 5 | 2011 |
| Modeling Attention Flow on Graphs X Xu, S Zu, C Gao, Y Zhang, W Feng NeurIPS 2018 Relational Representation Learning Workshop, 2018 | 4 | 2018 |
| Mop: An efficient algorithm for mining frequent pattern with subtree traversing ZH Deng, N Gao, XR Xu Fundamenta Informaticae 111 (4), 373-390, 2011 | 4 | 2011 |
| Neural Consciousness Flow X Xu, W Feng, Z Sun, ZH Deng NeurIPS 2019 KR2ML Workshop (arXiv:1905.13049 [cs.AI]), 2019 | 3 | 2019 |
| A novel probabilistic clustering model for heterogeneous networks ZH Deng, X Xu Machine Learning 104, 1-24, 2016 | 1 | 2016 |
Zhi-Hong DengSchool of Intelligence Science and Technology, Peking UniversityВерификована је имејл адреса на pku.edu.cn