Drop edges and adapt: A fairness enforcing fine-tuning for graph neural networks

The rise of graph representation learning as the primary solution for many different network science tasks led to a surge of interest in the fairness of this family of methods. Link prediction, in particular, has a substantial social impact. However, link prediction algorithms tend to increase the s...

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Veröffentlicht in:	Neural networks 2023-10, Vol.167, p.159-167
Hauptverfasser:	Spinelli, Indro, Bianchini, Riccardo, Scardapane, Simone
Format:	Artikel
Sprache:	eng
Schlagworte:	Fairness Graph neural network Link prediction
Online-Zugang:	Volltext
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