EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks

Yushun Dong, Ninghao Liu, Brian Jalaian, Jundong Li. EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks. 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 1259-1269, ACM, 2022. [doi]

@inproceedings{DongLJL22,
  title = {EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks},
  author = {Yushun Dong and Ninghao Liu and Brian Jalaian and Jundong Li},
  year = {2022},
  doi = {10.1145/3485447.3512173},
  url = {https://doi.org/10.1145/3485447.3512173},
  researchr = {https://researchr.org/publication/DongLJL22},
  cites = {0},
  citedby = {0},
  pages = {1259-1269},
  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},
}