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06/08/2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks
Research on GNNs has highlighted a relationship between high homophily (...
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05/17/2023
Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation
Distributed training of GNNs enables learning on massive graphs (e.g., s...
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07/10/2022
On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods
We study the task of node classification for graph neural networks (GNNs...
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06/14/2021
Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs
Recent studies have exposed that many graph neural networks (GNNs) are s...
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09/28/2020
Graph Neural Networks with Heterophily
Graph Neural Networks (GNNs) have proven to be useful for many different...
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06/20/2020
