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 | 227 | 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 | 223 | 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 | 217 | 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 | 177 | 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 | 90 | 2022 |
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 | 83 | 2018 |
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 | 61 | 2023 |
Fede: Embedding knowledge graphs in federated setting M Chen, W Zhang, Z Yuan, Y Jia, H Chen IJCKG2021(Best Paper), 2021 | 59 | 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 | 57 | 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 | 40 | 2023 |
Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification J Li, R Wang, N Zhang, W Zhang, F Yang, H Chen COLING2020, 2020 | 40 | 2020 |
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 | 37 | 2022 |
Knowledge graph reasoning with logics and embeddings: Survey and perspective W Zhang, J Chen, J Li, Z Xu, JZ Pan, H Chen arXiv preprint arXiv:2202.07412, 2022 | 36 | 2022 |
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 | 32 | 2021 |
Making large language models perform better in knowledge graph completion Y Zhang, Z Chen, W Zhang, H Chen ACMMM 2024, 2024 | 30 | 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 | 30 | 2023 |
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 | 30 | 2021 |
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 | 29 | 2023 |
Knowledge graph embedding with diversity of structures W Zhang Proceedings of the 26th international conference on world wide web companion …, 2017 | 28 | 2017 |
Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting M Chen, W Zhang, Z Yao, X Chen, M Ding, F Huang, H Chen IJCAI2022, 2022 | 27 | 2022 |