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…