| Interaction embeddings for prediction and explanation in knowledge graphs W Zhang, B Paudel, W Zhang, A Bernstein, H Chen Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 67 | 2019 |
| Iteratively learning embeddings and rules for knowledge graph reasoning W Zhang, B Paudel, L Wang, J Chen, H Zhu, W Zhang, A Bernstein, ... The World Wide Web Conference, 2366-2377, 2019 | 60 | 2019 |
| Label-free distant supervision for relation extraction via knowledge graph embedding G Wang, W Zhang, R Wang, Y Zhou, X Chen, W Zhang, H Zhu, H Chen Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 53 | 2018 |
| Meta relational learning for few-shot link prediction in knowledge graphs M Chen, W Zhang, W Zhang, Q Chen, H Chen EMNLP 2019, 2019 | 47 | 2019 |
| Knowledge-driven stock trend prediction and explanation via temporal convolutional network S Deng, N Zhang, W Zhang, J Chen, JZ Pan, H Chen Companion Proceedings of The 2019 World Wide Web Conference, 678-685, 2019 | 30 | 2019 |
| Knowledge graph embedding with diversity of structures W Zhang Proceedings of the 26th international conference on world wide web companion …, 2017 | 15 | 2017 |
| Large-scale real-time semantic processing framework for Internet of Things X Chen, H Chen, N Zhang, J Huang, W Zhang International Journal of Distributed Sensor Networks 11 (10), 365372, 2015 | 10 | 2015 |
| Fede: Embedding knowledge graphs in federated setting M Chen, W Zhang, Z Yuan, Y Jia, H Chen arXiv preprint arXiv:2010.12882, 2020 | 7 | 2020 |
| Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification J Li, R Wang, N Zhang, W Zhang, F Yang, H Chen COLING2020, 2020 | 6 | 2020 |
| Aligning knowledge base and document embedding models using regularized multi-task learning M Baumgartner, W Zhang, B Paudel, D Dell’Aglio, H Chen, A Bernstein International Semantic Web Conference, 21-37, 2018 | 5 | 2018 |
| Xtranse: Explainable knowledge graph embedding for link prediction with lifestyles in e-commerce W Zhang, S Deng, H Wang, Q Chen, W Zhang, H Chen Joint International Semantic Technology Conference, 78-87, 2019 | 3 | 2019 |
| Projr: Embedding structure diversity for knowledge graph completion W Zhang, J Li, H Chen CCF International Conference on Natural Language Processing and Chinese …, 2018 | 2 | 2018 |
| Billion-scale Pre-trained E-commerce Product Knowledge Graph Model W Zhang, CM Wong, G Ye, B Wen, W Zhang, H Chen 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2476-2487, 2021 | 1 | 2021 |
| Improving Conversational Recommender System by Pretraining Billion-scale Knowledge Graph CM Wong, F Feng, W Zhang, CM Vong, H Chen, Y Zhang, P He, H Chen, ... 2021 IEEE 37th International Conference on Data Engineering (ICDE), 2607-2612, 2021 | 1 | 2021 |
| DistilE: Distiling knowledge graph embeddings for faster and cheaper reasoning Y Zhu, W Zhang, H Chen, X Cheng, W Zhang, H Chen arXiv preprint arXiv:2009.05912, 2020 | 1 | 2020 |
| Neural Entity Summarization with Joint Encoding and Weak Supervision J Li, G Cheng, Q Liu, W Zhang, E Kharlamov, K Gunaratna, H Chen IJCAI2020, 2020 | 1 | 2020 |
| Neural Symbolic Reasoning with Knowledge Graphs: Knowledge Extraction, Relational Reasoning, and Inconsistency Checking H Chen, S Deng, W Zhang, Z Xu, J Li, E Kharlamov Fundamental Research, 2021 | | 2021 |
| Knowledge Perceived Multi-modal Pretraining in E-commerce Y Zhu, H Tou, W Zhang, G Ye, H Chen, N Zhang, H Chen arXiv preprint arXiv:2109.00895, 2021 | | 2021 |
| 大规模知识图谱预训练模型及电商应用 陈华钧， 张文， 黄志文， 叶橄强， 文博， 张伟 大数据 7 (3), 2021028, 2021 | | 2021 |
| Learning Rule Embeddings over Knowledge Graphs: A Case Study from E-Commerce Entity Alignment J Kang, W Zhang, H Kong, W Zhang, H Chen Companion Proceedings of the Web Conference 2020, 854-855, 2020 | | 2020 |
Chen HuajunCollege of Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
