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MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage

2024-01-31

Abstract excerpt

<title>Abstract</title> <p>Despite remarkable success in diverse web-based applications, Graph Neural Networks(GNNs) inherit and further exacerbate historical discrimination and social stereotypes, which critically hinder their deployments in high-stake domains such as online clinical diagnosis, financial crediting, etc. However, existing research in fair graph learning typically favors pairwise constraints to ac...

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Literature Corpus work
f12fe5ae-9e4c-59a6-b38b-58900af6b33c
DOI
10.21203/rs.3.rs-3903316/v1
Open publication

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MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information LeakageDOI 10.21203/rs.3.rs-3903316/v1
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