TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs

Jianliang Gao, Zhao Li, Fan Xiong, Xiangyue Liu, Jie Xiao, Biao Wang, Ji Zhang. TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, Hainan, China, December 20-22, 2021. pages 2050-2059, IEEE, 2021. [doi]

@inproceedings{GaoLXLXWZ21,
  title = {TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs},
  author = {Jianliang Gao and Zhao Li and Fan Xiong and Xiangyue Liu and Jie Xiao and Biao Wang and Ji Zhang},
  year = {2021},
  doi = {10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00306},
  url = {https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00306},
  researchr = {https://researchr.org/publication/GaoLXLXWZ21},
  cites = {0},
  citedby = {0},
  pages = {2050-2059},
  booktitle = {2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), Haikou, Hainan, China, December 20-22, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-9457-1},
}