Uncertainty-aware Pseudo Label Refinery for Entity Alignment

Jia Li, Dandan Song. Uncertainty-aware Pseudo Label Refinery for Entity Alignment. In Frédérique Laforest, Raphaël Troncy, Elena Simperl, Deepak Agarwal, Aristides Gionis, Ivan Herman, Lionel Médini, editors, WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022. pages 829-837, ACM, 2022. [doi]

@inproceedings{LiS22-11,
  title = {Uncertainty-aware Pseudo Label Refinery for Entity Alignment},
  author = {Jia Li and Dandan Song},
  year = {2022},
  doi = {10.1145/3485447.3511926},
  url = {https://doi.org/10.1145/3485447.3511926},
  researchr = {https://researchr.org/publication/LiS22-11},
  cites = {0},
  citedby = {0},
  pages = {829-837},
  booktitle = {WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022},
  editor = {Frédérique Laforest and Raphaël Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel Médini},
  publisher = {ACM},
  isbn = {978-1-4503-9096-5},
}