| Meta relational learning for few-shot link prediction in knowledge graphs M Chen, W Zhang, W Zhang, Q Chen, H Chen EMNLP 2019, 2019 | 266 | 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 | 244 | 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 | 237 | 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 | 201 | 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 | 124 | 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 | 114 | 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 | 90 | 2018 |
| Fede: Embedding knowledge graphs in federated setting M Chen, W Zhang, Z Yuan, Y Jia, H Chen IJCKG2021(Best Paper), 2021 | 77 | 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 |
| 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 | 66 | 2023 |
| Making large language models perform better in knowledge graph completion Y Zhang, Z Chen, W Zhang, H Chen ACMMM 2024, 2024 | 62 | 2024 |
| 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 | 59 | 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 | 51 | 2023 |
| 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 | 46 | 2022 |
| 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 | 44 | 2024 |
| 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 | 44 | 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 | 44 | 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 |
Chen Huajun, Professor, PhDCollege of Computer Science, Zhejiang Universityzju.edu.cn의 이메일 확인됨