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08/18/2023
Disparity, Inequality, and Accuracy Tradeoffs in Graph Neural Networks for Node Classification
Graph neural networks (GNNs) are increasingly used in critical human app...
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07/22/2023
Spectral Normalized-Cut Graph Partitioning with Fairness Constraints
Normalized-cut graph partitioning aims to divide the set of nodes in a g...
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11/08/2022
Graph Summarization via Node Grouping: A Spectral Algorithm
Graph summarization via node grouping is a popular method to build conci...
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10/22/2020
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
The node classification problem is to infer unknown node labels in a gra...
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11/08/2018