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FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Liu, Jiaxin, Jiang, Xiaoqian, Li, Xiang, Zhang, Bohan, Zhang, Jing
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence Social and Information Networks
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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