IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs

Kejia Xu, Zeming Fei, Jianke Yu, Yu Kong, Xiaoyang Wang 0002, Wenjie Zhang. IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs. In Zhifeng Bao, Renata Borovica-Gajic, Ruihong Qiu, Farhana Murtaza Choudhury, Zhengyi Yang 0001, editors, Databases Theory and Applications - 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings. Volume 14386 of Lecture Notes in Computer Science, pages 287-300, Springer, 2023. [doi]

@inproceedings{XuFYKWZ23,
  title = {IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs},
  author = {Kejia Xu and Zeming Fei and Jianke Yu and Yu Kong and Xiaoyang Wang 0002 and Wenjie Zhang},
  year = {2023},
  doi = {10.1007/978-3-031-47843-7_20},
  url = {https://doi.org/10.1007/978-3-031-47843-7_20},
  researchr = {https://researchr.org/publication/XuFYKWZ23},
  cites = {0},
  citedby = {0},
  pages = {287-300},
  booktitle = {Databases Theory and Applications - 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, November 1-3, 2023, Proceedings},
  editor = {Zhifeng Bao and Renata Borovica-Gajic and Ruihong Qiu and Farhana Murtaza Choudhury and Zhengyi Yang 0001},
  volume = {14386},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-47843-7},
}