Wen Zhang
Cited by
Cited by
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
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
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
Meta relational learning for few-shot link prediction in knowledge graphs
M Chen, W Zhang, W Zhang, Q Chen, H Chen
EMNLP 2019, 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
Knowledge graph embedding with diversity of structures
W Zhang
Proceedings of the 26th international conference on world wide web companion …, 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
Fede: Embedding knowledge graphs in federated setting
M Chen, W Zhang, Z Yuan, Y Jia, H Chen
arXiv preprint arXiv:2010.12882, 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
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
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
Projr: Embedding structure diversity for knowledge graph completion
W Zhang, J Li, H Chen
CCF International Conference on Natural Language Processing and Chinese …, 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
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
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
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
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
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
陈华钧, 张文, 黄志文, 叶橄强, 文博, 张伟
大数据 7 (3), 2021028, 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
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