Investigating the Effect of k-NN Preprocessing on Developing Graph Neural Networks: A Fairness-Based Perspective
cs.LG, cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- A Survey on Bias and Fairness in Machine Learning
- Learning Fair Representations for Recommendation: A Graph-based Perspective
- Equality of Opportunity in Supervised Learning
- Fair Attribute Completion on Graph with Missing Attributes
- Semi-Supervised Classification with Graph Convolutional Networks
- FNNC: Achieving Fairness through Neural Networks
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