| Learning to exploit long-term relational dependencies in knowledge graphs L Guo, Z Sun, W Hu International conference on machine learning, 2505-2514, 2019 | 330 | 2019 |
| Multi-view knowledge graph embedding for entity alignment Q Zhang, Z Sun, W Hu, M Chen, L Guo, Y Qu arXiv preprint arXiv:1906.02390, 2019 | 308 | 2019 |
| Transedge: Translating relation-contextualized embeddings for knowledge graphs Z Sun, J Huang, W Hu, M Chen, L Guo, Y Qu The Semantic Web–ISWC 2019: 18th International Semantic Web Conference …, 2019 | 147 | 2019 |
| Making large language models perform better in knowledge graph completion Y Zhang, Z Chen, L Guo, Y Xu, W Zhang, H Chen Proceedings of the 32nd ACM International Conference on Multimedia, 233-242, 2024 | 63 | 2024 |
| Meaformer: Multi-modal entity alignment transformer for meta modality hybrid Z Chen, J Chen, W Zhang, L Guo, Y Fang, Y Huang, Y Zhang, Y Geng, ... Proceedings of the 31st ACM International Conference on Multimedia, 3317-3327, 2023 | 57 | 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 | 44 | 2024 |
| Re-evaluating embedding-based knowledge graph completion methods F Akrami, L Guo, W Hu, C Li Proceedings of the 27th ACM international conference on information and …, 2018 | 40 | 2018 |
| Rethinking uncertainly missing and ambiguous visual modality in multi-modal entity alignment Z Chen, L Guo, Y Fang, Y Zhang, J Chen, JZ Pan, Y Li, H Chen, W Zhang International Semantic Web Conference, 121-139, 2023 | 31 | 2023 |
| DSKG: A deep sequential model for knowledge graph completion L Guo, Q Zhang, W Ge, W Hu, Y Qu Knowledge Graph and Semantic Computing. Knowledge Computing and Language …, 2019 | 28 | 2019 |
| Domain-agnostic molecular generation with self-feedback Y Fang, N Zhang, Z Chen, L Guo, X Fan, H Chen arXiv preprint arXiv:2301.11259, 2023 | 21 | 2023 |
| Understanding and improving knowledge graph embedding for entity alignment L Guo, Q Zhang, Z Sun, M Chen, W Hu, H Chen International Conference on Machine Learning, 8145-8156, 2022 | 18 | 2022 |
| Deep reinforcement learning for entity alignment L Guo, Y Han, Q Zhang, H Chen arXiv preprint arXiv:2203.03315, 2022 | 17 | 2022 |
| Decentralized knowledge graph representation learning L Guo, W Wang, Z Sun, C Liu, W Hu arXiv preprint arXiv:2010.08114, 2020 | 14 | 2020 |
| Revisit and outstrip entity alignment: A perspective of generative models L Guo, Z Chen, J Chen, Y Fang, W Zhang, H Chen arXiv preprint arXiv:2305.14651, 2023 | 13 | 2023 |
| Unleashing the power of transformer for graphs L Guo, Q Zhang, H Chen arXiv preprint arXiv:2202.10581, 2022 | 9 | 2022 |
| Learning to complete knowledge graphs with deep sequential models L Guo, Q Zhang, W Hu, Z Sun, Y Qu Data Intelligence 1 (3), 289-308, 2019 | 9 | 2019 |
| Native: Multi-modal knowledge graph completion in the wild Y Zhang, Z Chen, L Guo, Y Xu, B Hu, Z Liu, W Zhang, H Chen Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 7 | 2024 |
| Domain-Agnostic Molecular Generation with Chemical Feedback Y Fang, N Zhang, Z Chen, L Guo, X Fan, H Chen The Twelfth International Conference on Learning Representations, 2024 | 6 | 2024 |
| Recurrent skipping networks for entity alignment L Guo, Z Sun, E Cao, W Hu arXiv preprint arXiv:1811.02318, 2018 | 6 | 2018 |
| The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework Z Chen, Y Fang, Y Zhang, L Guo, J Chen, H Chen, W Zhang arXiv preprint arXiv:2403.06832, 2024 | 5 | 2024 |
Chen Huajun, Professor, PhDCollege of Computer Science, Zhejiang Universityzju.edu.cn의 이메일 확인됨