| Learning to exploit long-term relational dependencies in knowledge graphs L Guo, Z Sun, W Hu International conference on machine learning, 2505-2514, 2019 | 271 | 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 | 251 | 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 | 120 | 2019 |
| 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 | 36 | 2018 |
| 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 | 23 | 2019 |
| 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 | 21 | 2023 |
| Decentralized knowledge graph representation learning L Guo, W Wang, Z Sun, C Liu, W Hu arXiv preprint arXiv:2010.08114, 2020 | 12 | 2020 |
| 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 | 11 | 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 | 11 | 2022 |
| Deep reinforcement learning for entity alignment L Guo, Y Han, Q Zhang, H Chen arXiv preprint arXiv:2203.03315, 2022 | 11 | 2022 |
| 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 | 10 | 2023 |
| 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 |
| 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 | 6 | 2024 |
| Revisit and outstrip entity alignment: A perspective of generative models L Guo, Z Chen, J Chen, H Chen arXiv preprint arXiv:2305.14651, 2023 | 5 | 2023 |
| Recurrent skipping networks for entity alignment L Guo, Z Sun, E Cao, W Hu arXiv preprint arXiv:1811.02318, 2018 | 5 | 2018 |
| Unleashing the power of transformer for graphs L Guo, Q Zhang, H Chen arXiv preprint arXiv:2202.10581, 2022 | 4 | 2022 |
| Newton–cotes graph neural networks: On the time evolution of dynamic systems L Guo, W Wang, Z Chen, N Zhang, Z Sun, Y Lai, Q Zhang, H Chen Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Universal multi-modal entity alignment via iteratively fusing modality similarity paths B Zhu, X Liu, X Mao, Z Chen, L Guo, T Gui, Q Zhang arXiv preprint arXiv:2310.05364, 2023 | 2 | 2023 |
| 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 Authorea Preprints, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
Wei HuNanjing UniversityVerified email at nju.edu.cn
