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Individual Fairness for Graph Neural Networks
10 references·7 citing·28 second hop
Individual Fairness for Graph Neural Networks (2021)Individual Fairness for Graph Neural Netw…InFoRM: Individual Fairness on Graph Mining (2020)InFoRM: Individual Fairness o…Fairness in Machine Learning (2020)Fairness in Machine LearningiFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)iFair: Learning Individually …Fairwalk: Towards Fair Graph Embedding (2019)Fairwalk: Towards Fair Graph …From Parity to Preference-based Notions of Fairness in Classification (2017)From Parity to Preference-bas…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Certifying and Removing Disparate Impact (2015)Certifying and Removing Dispa…Learning Fair Representations (2013)Learning Fair RepresentationsFairness through awareness (2012)Fairness through awarenessArnetMiner (2008)ArnetMinerRethinking Fair Graph Neural Networks from Re-balancing (2024)Rethinking Fair Graph Neural …Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks (2023)Towards Fair Financial Servic…Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples (2023)Mitigating Multisource Biases…Learning Fair Node Representations with Graph Counterfactual Fairness (2022)Learning Fair Node Representa…GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks (2022)GUIDE: Group Equality Informe…Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling (2022)Do Graph Neural Networks Buil…Fair Graph Mining (2021)Fair Graph MiningUniform Guidelines on Employee Selection Procedures (2007)European Union Regulations on Algorithmic Decision Making and a “Right to Explanation” (2017)Semantics derived automatically from language corpora contain human-like biases (2017)A Survey on Bias and Fairness in Machine Learning (2021)Incorporating Fairness into Game Theory and Economics (2011)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Princeton University Press (2017)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring (2019)EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks (2022)Over-optimization of academic publishing metrics: observing Goodhart's Law in action (2019)S2ORC: The Semantic Scholar Open Research Corpus (2020)Data and code for the essay "Recording scientific progress by its content": OpenAlex article counts (2016–2026) and Science Live replication outcomes (2022)Algorithmic Decision Making and the Cost of Fairness (2017)Counterfactual Fairness (2017)AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)50 Years of Test (Un)fairness: Lessons for Machine Learning (2018)Fairness without Demographics through Adversarially Reweighted Learning (2020)Algorithmic fairness datasets: the story so far (2022)Fairness in Graph Mining: A Survey (2023)Representation Bias in Data: A Survey on Identification and Resolution Techniques (2023)50 Years of Test (Un)fairness (2019)Re-imagining Algorithmic Fairness in India and Beyond (2021)A clarification of the nuances in the fairness metrics landscape (2022)Fairness-Aware PageRank (2021)Algorithmic individual fairness and healthcare: a scoping review (2024)
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References

  • 2012Fairness through awareness3,501 cited
  • 2016Equality of Opportunity in Supervised Learning2,535 cited
  • 2008ArnetMiner2,135 cited
  • 2015Certifying and Removing Disparate Impact1,827 cited
  • 2013Learning Fair Representations1,126 cited
  • 2020Fairness in Machine Learning299 cited
  • 2019Fairwalk: Towards Fair Graph Embedding163 cited
  • 2019iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making162 cited
  • 2017From Parity to Preference-based Notions of Fairness in Classification121 cited
  • 2020InFoRM: Individual Fairness on Graph Mining113 cited

Cited by

  • 2022Learning Fair Node Representations with Graph Counterfactual Fairness80 cited
  • 2022GUIDE: Group Equality Informed Individual Fairness in Graph Neural Networks30 cited
  • 2021Fair Graph Mining22 cited
  • 2023Mitigating Multisource Biases in Graph Neural Networks via Real Counterfactual Samples20 cited
  • 2023Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks19 cited
  • 2022

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Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling
17 cited
  • 2024Rethinking Fair Graph Neural Networks from Re-balancing17 cited