Fair Contrastive Learning on Graphs
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DOI: 10.1109/tsipn.2022.3174953
Abstract: Node representation learning plays a critical role in learning over graphs. Specifically, the success of contrastive learning methods in unsupervised node representation learning has been demonstrated for various tasks, which has led to increase in… read more here.
Keywords: learning graphs; fairness; fair contrastive; contrastive learning ... See more keywords