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Fair Graph Mining
8 references·0 citing·24 second hop
Fair Graph Mining (2021)Fair Graph MiningSay No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information (2021)Say No to the Discrimination:…On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections (2021)On Dyadic Fairness: Exploring…Individual Fairness for Graph Neural Networks (2021)Individual Fairness for Graph…Fairness-Aware PageRank (2021)Fairness-Aware PageRankInFoRM: Individual Fairness on Graph Mining (2020)InFoRM: Individual Fairness o…Exploring Algorithmic Fairness in Robust Graph Covering Problems (2020)Exploring Algorithmic Fairnes…Bursting the Filter Bubble: Fairness-Aware Network Link Prediction (2020)Bursting the Filter Bubble: F…Fairwalk: Towards Fair Graph Embedding (2019)Fairwalk: Towards Fair Graph …Fairness through awareness (2012)Big Data's Disparate Impact (2014)Equality of Opportunity in Supervised Learning (2016)EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks (2022)Fairness in Graph Mining: A Survey (2023)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)Birds of a Feather: Homophily in Social Networks (2001)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)FairSNA: Algorithmic Fairness in Social Network Analysis (2024)Certifying and Removing Disparate Impact (2015)Algorithmic fairness datasets: the story so far (2022)The political blogosphere and the 2004 U.S. election (2005)A Survey on Bias and Fairness in Machine Learning (2021)Fairness in Rankings and Recommenders: Models, Methods and Research Directions (2021)ArnetMiner (2008)GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks (2022)Learning Fair Node Representations with Graph Counterfactual Fairness (2022)Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples (2023)Fairness in maximal covering location problems (2023)Exploring the geographical equity-efficiency tradeoff in cycling infrastructure planning (2024)Fairness amidst non‐IID graph data: A literature review (2025)Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage (2022)Interpreting Unfairness in Graph Neural Networks via Training Node Attribution (2023)FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization (2024)
this work references cited by second hop

References

  • 2021Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information247 cited
  • 2019Fairwalk: Towards Fair Graph Embedding163 cited
  • 2020InFoRM: Individual Fairness on Graph Mining113 cited
  • 2021Individual Fairness for Graph Neural Networks92 cited
  • 2020Bursting the Filter Bubble: Fairness-Aware Network Link Prediction82 cited
  • 2021Fairness-Aware PageRank47 cited
  • 2021On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections45 cited
  • 2020Exploring Algorithmic Fairness in Robust Graph Covering Problems32 cited

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