6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
Arpit Merchant, Carlos Castillo
Graph neural networks (GNNs) are increasingly used in critical human applications for predicting node labels in attributed graphs. Their ability to aggregate features from nodes' n…
cs.LG2023★ 6 cited
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
Jia Li, Yanhao Wang, Arpit Merchant
Normalized-cut graph partitioning aims to divide the set of nodes in a graph into disjoint clusters to minimize the fraction of the total edges between any cluster and all othe…