Towards a unified framework for fair and stable graph representation learning

Chirag Agarwal, Himabindu Lakkaraju, Marinka Zitnik. Towards a unified framework for fair and stable graph representation learning. In Cassio P. de Campos, Marloes H. Maathuis, Erik Quaeghebeur, editors, Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021. Volume 161 of Proceedings of Machine Learning Research, pages 2114-2124, AUAI Press, 2021. [doi]

@inproceedings{AgarwalLZ21,
  title = {Towards a unified framework for fair and stable graph representation learning},
  author = {Chirag Agarwal and Himabindu Lakkaraju and Marinka Zitnik},
  year = {2021},
  url = {https://proceedings.mlr.press/v161/agarwal21b.html},
  researchr = {https://researchr.org/publication/AgarwalLZ21},
  cites = {0},
  citedby = {0},
  pages = {2114-2124},
  booktitle = {Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, UAI 2021, Virtual Event, 27-30 July 2021},
  editor = {Cassio P. de Campos and Marloes H. Maathuis and Erik Quaeghebeur},
  volume = {161},
  series = {Proceedings of Machine Learning Research},
  publisher = {AUAI Press},
}