most citedFairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

8 citations · 8 across the 1 of their papers we have counts for

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cs.LG2024★ 8 cited

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

Zicun Cong, Shi Baoxu, Shan Li +3

Fairness in Graph Convolutional Neural Networks (GCNs) becomes a more and more important concern as GCNs are adopted in many crucial applications. Societal biases against sensitive…