On generalized degree fairness in graph neural networks

Conventional graph neural networks (GNNs) are often confronted with fairness issues that may stem from their input, including node attributes and neighbors surrounding a node. While several recent approaches have been proposed to eliminate the bias rooted in sensitive attributes, they ignore the oth...

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Bibliographic Details
Main Authors: LIU, Zemin, NGUYEN, Trung Kien, FANG, Yuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8189
https://ink.library.smu.edu.sg/context/sis_research/article/9192/viewcontent/AAAI23_DegFairGNN.pdf
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Institution: Singapore Management University
Language: English

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