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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Main Authors: | LIU, Zemin, NGUYEN, Trung Kien, FANG, Yuan |
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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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