Wen Zhang

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Soavtorji

Chen Huajun, Professor, PhDCollege of Computer Science, Zhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Jeff Z. PanProfessor of Knowledge Computing, University of EdinburghPreverjeni e-poštni naslov na ed.ac.uk
Yichi ZhangZhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Jiaoyan ChenDepartment of Computer Science, University of ManchesterPreverjeni e-poštni naslov na manchester.ac.uk
Yuxia GengZhejiang University, Hangzhou Dianzi University, PowerChina Huadong Engineering Corporation LimitedPreverjeni e-poštni naslov na zju.edu.cn
Wei ZhangShopeePreverjeni e-poštni naslov na comp.nus.edu.sg
Lingbing GuoZhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Yin FangNational Institutes of HealthPreverjeni e-poštni naslov na nih.gov
Yufeng HuangZhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Yushan ZhuZhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Zezhong XuZhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Ningyu Zhang (张宁豫)Associate Professor, Zhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Shumin DengNational University of SingaporePreverjeni e-poštni naslov na nus.edu.sg
Abraham BernsteinProfessor of Computer Science, University of ZurichPreverjeni e-poštni naslov na ifi.uzh.ch
Bibek PaudelStanford UniversityPreverjeni e-poštni naslov na cs.stanford.edu
Juan LiZhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Mingyang ChenZhejiang UniversityPreverjeni e-poštni naslov na zju.edu.cn
Evgeny KharlamovBosch Center for Artificial IntelligencePreverjeni e-poštni naslov na de.bosch.com
Gong ChengProfessor, Nanjing UniversityPreverjeni e-poštni naslov na nju.edu.cn
Daniele Dell'AglioAssociate professor at Aalborg UniversityPreverjeni e-poštni naslov na cs.aau.dk

Spremljaj

Wen Zhang

Zhejiang University

Preverjeni e-poštni naslov na zju.edu.cn - Domača stran

Knowledge graph Representation Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Meta relational learning for few-shot link prediction in knowledge graphs M Chen, W Zhang, W Zhang, Q Chen, H Chen EMNLP 2019, 2019	262	2019
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	248	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	233	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	203	2019
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	126	2022
Large language models and knowledge graphs: Opportunities and challenges JZ Pan, S Razniewski, JC Kalo, S Singhania, J Chen, S Dietze, H Jabeen, ... TGDK, 2023	124	2023
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	89	2018
Fede: Embedding knowledge graphs in federated setting M Chen, W Zhang, Z Yuan, Y Jia, H Chen IJCKG2021(Best Paper), 2021	80	2021
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding M Chen, W Zhang, Y Zhu, H Zhou, Z Yuan, C Xu, H Chen SIGIR2022, 2022	75	2022
Making large language models perform better in knowledge graph completion Y Zhang, Z Chen, W Zhang, H Chen ACMMM 2024, 2024	70	2024
DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning Z Chen, Y Huang, J Chen, Y Geng, W Zhang, Y Fang, JZ Pan, W Song, ... AAAI2023, 2023	65	2023
Relational Message Passing for Fully Inductive Knowledge Graph Completion Y Geng, J Chen, W Zhang, JZ Pan, M Chen, H Chen, S Jiang ICDE2023, 2023	60	2023
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid Z Chen, J Chen, W Zhang, L Guo, Y Fang, Y Huang, Y Geng, JZ Pan, ... ACM MM 2023, 2023	57	2023
Zero-shot and few-shot learning with knowledge graphs: A comprehensive survey J Chen, Y Geng, Z Chen, JZ Pan, Y He, W Zhang, I Horrocks, H Chen Proceedings of the IEEE 111 (6), 653-685, 2023	52	2023
Knowledge graphs meet multi-modal learning: A comprehensive survey Z Chen, Y Zhang, Y Fang, Y Geng, L Guo, X Chen, Q Li, W Zhang, J Chen, ... arXiv preprint arXiv:2402.05391, 2024	51	2024
Deepke: A deep learning based knowledge extraction toolkit for knowledge base population N Zhang, X Xu, L Tao, H Yu, H Ye, X Xie, X Chen, Z Li, L Li, X Liang, ... EMNLP 2022 Demonstration, 2022	49	2022
Knowledge graph reasoning with logics and embeddings: Survey and perspective W Zhang, J Chen, J Li, Z Xu, JZ Pan, H Chen ICKG 2024, 2024	45	2024
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification J Li, R Wang, N Zhang, W Zhang, F Yang, H Chen COLING2020, 2020	43	2020
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	41	2021
Federated knowledge graph completion via embedding-contrastive learning M Chen, W Zhang, Z Yuan, Y Jia, H Chen Knowledge-Based Systems 252, 109459, 2022	38	2022

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