Testing Individual Fairness in Graph Neural Networks | Paper Citation Record

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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This paper cites Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, and Nesreen K.

Testing Individual Fairness in Graph Neural Networks Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, and Nesreen K

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Testing Individual Fairness in Graph Neural Networks Zhang, Max Hort, Mark Harman, and Federica Sarro

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This paper cites Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information.

Testing Individual Fairness in Graph Neural Networks Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Equality of Opportunity in Supervised Learning

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Testing Individual Fairness in Graph Neural Networks Harsha, Saif Obaid, Debarshi Mazumder, Y

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Rothenberger Ken Peffers, Tuure Tuunanen and Samir Chatterjee

Reference 24

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Testing Individual Fairness in Graph Neural Networks The Pursuit of Fairness in Artificial Intelligence Models: A Survey

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Inherent Trade-Offs in the Fair Determination of Risk Scores

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks A Survey on Bias and Fairness in Machine Learning

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Murgod, P

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Testing Individual Fairness in Graph Neural Networks Unresolved cited work

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Testing Individual Fairness in Graph Neural Networks Let Your Graph Do the Talking: Encoding Structured Data for LLMs

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Testing Individual Fairness in Graph Neural Networks Kuruoglu

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Testing Individual Fairness in Graph Neural Networks A Decade of Knowledge Graphs in Natural Language Processing: A Survey

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Testing Individual Fairness in Graph Neural Networks Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

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Testing Individual Fairness in Graph Neural Networks Zhang, Sarah H

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Testing Individual Fairness in Graph Neural Networks Zhang, Mark Harman, Lei Ma, and Yang Liu

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Testing Individual Fairness in Graph Neural Networks Fairness Testing of Deep Image Classification with Adequacy Metrics

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Testing Individual Fairness in Graph Neural Networks Graph Neural Networks for User Identity Linkage

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Testing Individual Fairness in Graph Neural Networks Journal of Management Information Systems 24, 3 (2007), 45–77

Reference 2007

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Testing Individual Fairness in Graph Neural Networks Fairness Through Awareness

Reference 2011

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Observation 67bef614-9245-4646-a0bb-a26f8087b07f · outbound

This paper cites an unresolved cited work.

Testing Individual Fairness in Graph Neural Networks Unresolved cited work

Reference 2019

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Observation 4cff25dd-30cd-4313-8ca6-c23c90dc99a8 · outbound

This paper cites In Proceed- ings of the 37th International Conference on Machine Learning (ICML’20).

Testing Individual Fairness in Graph Neural Networks In Proceed- ings of the 37th International Conference on Machine Learning (ICML’20)

Reference 2020

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Observation 6a695e7e-9256-4eab-aff1-07d0a494ff2e · outbound

This paper cites In Proceedings of the 30th ACM Joint European Software Engi- neering Conference and Symposium on the Foundations of Software Engineering (Singapore, Singapore) (ESEC/FSE 2022).

Testing Individual Fairness in Graph Neural Networks In Proceedings of the 30th ACM Joint European Software Engi- neering Conference and Symposium on the Foundations of Software Engineering (Singapore, Singapore) (ESEC/FSE 2022)

Reference 2022

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Observation ca415290-6f08-4914-8cd4-205bdd5895a7 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering 36 (2023), 3580–3599.

Testing Individual Fairness in Graph Neural Networks IEEE Transactions on Knowledge and Data Engineering 36 (2023), 3580–3599

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:21:23.246290Z

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