| Spatio-Temporal Hypergraph Learning for Next POI Recommendation X Yan, T Song, Y Jiao, J He, J Wang, R Li, W Chu Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 54 | 2023 |
| Rot-pro: Modeling transitivity by projection in knowledge graph embedding T Song, J Luo, L Huang Advances in Neural Information Processing Systems 34, 24695-24706, 2021 | 53 | 2021 |
| BioRel: towards large-scale biomedical relation extraction R Xing, J Luo, T Song BMC bioinformatics 21, 1-13, 2020 | 50 | 2020 |
| Modulate Your Spectrum in Self-Supervised Learning X Weng, Y Ni, T Song, J Luo, RM Anwer, S Khan, FS Khan, L Huang ICLR 2024, 2023 | 5 | 2023 |
| Biorel: a large-scale dataset for biomedical relation extraction R Xing, J Luo, T Song 2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019 | 3 | 2019 |
| Dual channel knowledge graph embedding with ontology guided data augmentation T Song, L Yin, X Ma, J Luo International Conference on Knowledge Science, Engineering and Management …, 2023 | 1 | 2023 |
| Expressiveness Analysis and Enhancing Framework for Geometric Knowledge Graph Embedding Models T Song, L Yin, Y Liu, L Liao, J Luo, Z Xu IEEE Transactions on Knowledge and Data Engineering, 2024 | | 2024 |
| Attention-based Learning for Multiple Relation Patterns in Knowledge Graph Embedding T Song, J Luo International Conference on Knowledge Science, Engineering and Management …, 2022 | | 2022 |
| Pre-train Unified Knowledge Graph Embedding with Ontology T Song, J Luo, X Chen International Conference on Knowledge Science, Engineering and Management, 85-92, 2022 | | 2022 |
Luo JieState Key Laboratory of Software Development EnvironmentAdresse e-mail validée de buaa.edu.cn