71%Highly rated
?Highly ratedVote to see the score
Adversarial Attacks on Fairness of Graph Neural Networks
G-FairAttack is a framework that adversarially corrupts fairness in fairness-aware graph neural networks while preserving prediction utility.
Published Oct 20, 2023 · 1 citation · ▲ 1 on Hugging Face · Code ★ 11
– ReadersNo votes yet
7/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5