| Multi-channel graph neural network for entity alignment Y Cao, Z Liu, C Li, J Li, TS Chua arXiv preprint arXiv:1908.09898, 2019 | 279 | 2019 |
| Semi-supervised entity alignment via joint knowledge embedding model and cross-graph model C Li, Y Cao, L Hou, J Shi, J Li, TS Chua Association for Computational Linguistics, 2019 | 154 | 2019 |
| Prerequisite relation learning for concepts in moocs L Pan, C Li, J Li, J Tang Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 150 | 2017 |
| A comprehensive survey of entity alignment for knowledge graphs K Zeng, C Li, L Hou, J Li, L Feng AI Open 2, 1-13, 2021 | 91 | 2021 |
| Course concept extraction in moocs via embedding-based graph propagation L Pan, X Wang, C Li, J Li, J Tang Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 66 | 2017 |
| XLORE2: large-scale cross-lingual knowledge graph construction and application H Jin, C Li, J Zhang, L Hou, J Li, P Zhang Data Intelligence 1 (1), 77-98, 2019 | 44 | 2019 |
| Joint representation learning of cross-lingual words and entities via attentive distant supervision Y Cao, L Hou, J Li, Z Liu, C Li, X Chen, T Dong arXiv preprint arXiv:1811.10776, 2018 | 34 | 2018 |
| Interpretable and low-resource entity matching via decoupling feature learning from decision making Z Yao, C Li, T Dong, X Lv, J Yu, L Hou, J Li, Y Zhang, Z Dai arXiv preprint arXiv:2106.04174, 2021 | 9 | 2021 |
| On modeling sense relatedness in multi-prototype word embedding Y Cao, J Li, J Shi, Z Liu, C Li Association for Computational Linguistics, 2017 | 4 | 2017 |
| Learning Syllogism with Euler Neural-Networks T Dong, C Li, C Bauckhage, J Li, S Wrobel, AB Cremers arXiv preprint arXiv:2007.07320, 2020 | 2 | 2020 |
Juanzi LiTsinghua UniversityE-mail confirmado em tsinghua.edu.cn
