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20172026
most citedSpectral Normalized-Cut Graph Partitioning with Fairness Constraints

6 citations · 12 across the 7 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

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…