Publisher
Springer International Publishing
Reference35 articles.
1. Adamic, L.A., Glance, N.: The political blogosphere and the 2004 US election: divided they blog. In: Proceedings of the 3rd International Workshop on Link Discovery, pp. 36–43 (2005)
2. Agarwal, A., Beygelzimer, A., Dudík, M., Langford, J., Wallach, H.: A reductions approach to fair classification. In: International Conference on Machine Learning, pp. 60–69. PMLR (2018)
3. Alghamdi, W., Asoodeh, S., Wang, H., Calmon, F.P., Wei, D., Ramamurthy, K.N.: Model projection: theory and applications to fair machine learning. In: 2020 IEEE International Symposium on Information Theory (ISIT), pp. 2711–2716. IEEE (2020)
4. Bose, A., Hamilton, W.: Compositional fairness constraints for graph embeddings. In: International Conference on Machine Learning, pp. 715–724 (2019)
5. Burnham, K.P., Anderson, D.R.: Practical use of the information-theoretic approach. In: Model selection and inference, pp. 75–117. Springer, New York (1998). https://doi.org/10.1007/978-1-4757-2917-7_3
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Filtering as Rewiring for Bias Mitigation on Graphs;2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM);2024-07-08
2. FairGAT: Fairness-Aware Graph Attention Networks;ACM Transactions on Knowledge Discovery from Data;2024-06-19
3. On Explaining Unfairness: An Overview;2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW);2024-05-13
4. Fairness-Aware Graph Neural Networks: A Survey;ACM Transactions on Knowledge Discovery from Data;2024-04-12
5. Fairness-Aware Optimal Graph Filter Design;IEEE Journal of Selected Topics in Signal Processing;2024-03