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Zihan Luo

2 accepted papers

2024

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections

NeurIPS 2024poster

Despite the remarkable capabilities demonstrated by Graph Neural Networks (GNNs) in graph-related tasks, recent research has revealed the fairness vulnerabilities in GNNs when facing malicious adversarial attacks. However, all existing fairness attacks require manipulating the connectivity between e…

2023

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective

NeurIPS 2023poster

Recently, the bias-related issues in GNN-based link prediction have raised widely spread concerns. In this paper, we emphasize the bias on links across different node clusters, which we call cross-links, after considering its significance in both easing information cocoons and preserving graph conne…

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