14 citations · 29 across the 4 of their papers we have counts for
4 papers
Unlearning Algorithmic Biases over Graphs
O. Deniz Kose, Gonzalo Mateos, Yanning Shen
The growing enforcement of the right to be forgotten regulations has propelled recent advances in certified (graph) unlearning strategies to comply with data removal requests from…
FairNorm: Fair and Fast Graph Neural Network Training
O. Deniz Kose, Yanning Shen
Graph neural networks (GNNs) have been demonstrated to achieve state-of-the-art for a number of graph-based learning tasks, which leads to a rise in their employment in various dom…
Fair Node Representation Learning via Adaptive Data Augmentation
O. Deniz Kose, Yanning Shen
Node representation learning has demonstrated its efficacy for various applications on graphs, which leads to increasing attention towards the area. However, fairness is a largely…
Fairness-Aware Node Representation Learning
Öykü Deniz Köse, Yanning Shen
Node representation learning has demonstrated its effectiveness for various applications on graphs. Particularly, recent developments in contrastive learning have led to promising…