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Official implementation of "Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks"

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ArjunSubramonian/degree-bias-exploration

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Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

This repository is the official implementation of Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks.

Requirements

To install requirements, use the provided requirements.txt:

pip install -r requirements.txt

Experiments

To run our experiments, simply execute all the cells in generate-results.ipynb.

License

Some utilities code files are adapted from the PyTorch Geometric library; these files contain the appropriate copyright notices. All other code is written by the authors.

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Official implementation of "Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks"

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