自动化学报（英文版）2022，Vol.9Issue(11)：2031-2033,3.DOI:10.1109/JAS.2022.105962
Self-Supervised Entity Alignment Based on Multi-Modal Contrastive Learning
Self-Supervised Entity Alignment Based on Multi-Modal Contrastive Learning
Bo Liu 1Ruoyi Song 2Yuejia Xiang 3Junbo Du 4Weijian Ruan 5Jinhui Hu6
作者信息
- 1. School of Software Engineering,Xi'an Jiaotong University,Xi'an 710000
- 2. China Electronics Technology Group Corporation(CETC)Key Laboratory of Smart City Model Simulation and Intelligent Technology,the Smart City Research Institute of CETC and National Center for Applied Mathematics Shenzhen(NCAMS),Shenzhen 518000,China
- 3. Chinese University of Hong Kong,Shenzhen 518000,China
- 4. Tencent,Shenzhen 518000,China
- 5. CETC Key Laboratory of Smart City Model Simulation and Intelligent Technology,the Smart City Research Institute of CETC and National Center for Applied Mathematics Shenzhen(NCAMS),Shenzhen 518000,China
- 6. Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055
- 折叠
引用本文复制引用
Bo Liu,Ruoyi Song,Yuejia Xiang,Junbo Du,Weijian Ruan,Jinhui Hu..Self-Supervised Entity Alignment Based on Multi-Modal Contrastive Learning[J].自动化学报（英文版）,2022,9(11):2031-2033,3.基金项目
This work was supported by the National Key Research and Development Project(2019YFB2102500)and the National Nature Science Foundations of China(U20B2052). （2019YFB2102500）
