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
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
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
Knowledge graph embedding with diversity of structures
W Zhang
Proceedings of the 26th international conference on world wide web companion …, 2017
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification
J Li, R Wang, N Zhang, W Zhang, F Yang, H Chen
COLING2020, 2020
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
IJCKG2021, 2021
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
3D-Transformer: Molecular Representation with Transformer in 3D Space
F Wu, Q Zhang, D Radev, J Cui, W Zhang, H Xing, N Zhang, H Chen
arXiv preprint arXiv:2110.01191, 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
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
Knowledge perceived multi-modal pretraining in e-commerce
Y Zhu, H Zhao, W Zhang, G Ye, H Chen, N Zhang, H Chen
Proceedings of the 29th ACM International Conference on Multimedia, 2744-2752, 2021
Projr: Embedding structure diversity for knowledge graph completion
W Zhang, J Li, H Chen
CCF International Conference on Natural Language Processing and Chinese …, 2018
Molecular Contrastive Learning with Chemical Element Knowledge Graph
Y Fang, Q Zhang, H Yang, X Zhuang, S Deng, W Zhang, M Qin, Z Chen, ...
AAAI2022, 2022
Low-resource Learning with Knowledge Graphs: A Comprehensive Survey
J Chen, Y Geng, Z Chen, JZ Pan, Y He, W Zhang, I Horrocks, H Chen
arXiv preprint arXiv:2112.10006, 2021
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
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 1 (5), 565-573, 2021
The system can't perform the operation now. Try again later.
Articles 1–20