On generalized degree fairness in graph neural networks

• Main Authors: LIU, Zemin, NGUYEN, Trung Kien, FANG, Yuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2023
• Subjects: De-biasing; Graph neural networks; Layer-wise; Multi-hops; Neighborhood structure; Network frameworks; Node attribute; Node degree; Sensitive attribute; Databases and Information Systems
• 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
• Institution: Singapore Management University

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...