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Found 3 papers, 2 papers with code
CrossWalk: Fairness-enhanced Node Representation Learning
The potential for machine learning systems to amplify social inequities and unfairness is receiving increasing popular and academic attention.
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
We believe we are the first to use embeddings for the task of fair influence maximization.
On the Fairness of Time-Critical Influence Maximization in Social Networks
As we show in this paper, the time-criticality of the information could further exacerbate the disparity of influence across groups.
Social and Information Networks Computers and Society
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