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Reassessing Fairness: A Reproducibility Study of NIFA's Impact on GNN Models
TMLR • Journal Article (2025)Published in TMLR (2025). Selected for presentation at the 2025 Machine Learning Reproducibility Challenge held at Princeton University. This study evaluates the claims and results of Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections. Assessed implementation, experimental setup, and generalizability to provide insights into the robustness of the original findings.
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