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FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
16 references·0 citing·45 second hop
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization (2024)FairSIN: Achieving Fairness in Graph Neur…Fairness in Graph Mining: A Survey (2023)Fairness in Graph Mining: A S…Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage (2022)Improving Fairness in Graph N…EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks (2022)EDITS: Modeling and Mitigatin…Say 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…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…A Survey of Race, Racism, and Anti-Racism in NLP (2021)A Survey of Race, Racism, and…Mitigating Gender Bias in Natural Language Processing: Literature Review (2019)Mitigating Gender Bias in Nat…Fairwalk: Towards Fair Graph Embedding (2019)Fairwalk: Towards Fair Graph …Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads (2019)Algorithmic Bias? An Empirica…The Frontiers of Fairness in Machine Learning (2018)The Frontiers of Fairness in …Counterfactual Fairness (2017)Counterfactual FairnessEquality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Fairness through awareness (2012)Fairness through awarenessThe comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)The comparisons of data minin…Birds of a Feather: Homophily in Social Networks (2001)Birds of a Feather: Homophily…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)A Review on Fairness in Machine Learning (2022)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Human behavior and the principle of least effort (1949)Informal social communication. (1950)Structural Holes (1992)The Network Paradigm in Organizational Research: A Review and Typology (2003)E Pluribus Unum : Diversity and Community in the Twenty‐first Century The 2006 Johan Skytte Prize Lecture (2007)Friendship and mobility (2011)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Male-Female Wage Differentials in Urban Labor Markets (1973)Nobel Lecture: The Economic Way of Looking at Behavior (1993)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)The Role of Artificial Intelligence and Data Network Effects for Creating User Value (2020)Algorithmic bias: review, synthesis, and future research directions (2021)Algorithmic injustice: a relational ethics approach (2021)On the (im)possibility of fairness (2016)Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations (2017)Learning Adversarially Fair and Transferable Representations (2018)An empirical characterization of fair machine learning for clinical risk prediction (2020)A clarification of the nuances in the fairness metrics landscape (2022)Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey (2023)Science faculty’s subtle gender biases favor male students (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Model Cards for Model Reporting (2019)Five sources of bias in natural language processing (2021)Biases in Large Language Models: Origins, Inventory, and Discussion (2023)Gender bias and stereotypes in Large Language Models (2023)Structural Equations with Latent Variables. (1991)Testing Structural Equation Models. (1995)Fairness definitions explained (2018)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Certifying and Removing Disparate Impact (2015)
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References

  • 2001Birds of a Feather: Homophily in Social Networks18,551 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2017Counterfactual Fairness995 cited
  • 2008The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients881 cited
  • 2019Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads854 cited
  • 2019Mitigating Gender Bias in Natural Language Processing: Literature Review491 cited
  • 2021Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information247 cited
  • 2018The Frontiers of Fairness in Machine Learning233 cited
  • 2019Fairwalk: Towards Fair Graph Embedding163 cited
  • 2023Fairness in Graph Mining: A Survey138 cited
  • 2022EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks125 cited
  • 2022Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage95 cited
  • 2021A Survey of Race, Racism, and Anti-Racism in NLP81 cited

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  • 2021On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections45 cited
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