Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark

Documenti analoghi

• A Benchmark for Fairness-Aware Graph Learning
  di: Dong, Yushun, et al.
  Pubblicazione: (2024)
• Learning Fair Models without Sensitive Attributes: A Generative Approach
  di: Zhu, Huaisheng, et al.
  Pubblicazione: (2022)
• Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks
  di: He, Erhu, et al.
  Pubblicazione: (2024)
• BoostFGL: Boosting Fairness in Federated Graph Learning
  di: Chen, Zekai, et al.
  Pubblicazione: (2026)
• Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation
  di: Wang, Yifei, et al.
  Pubblicazione: (2023)