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Reproducibility report for "CrossWalk: Fairness-enhanced Node Representation Learning" - Investigating the original claims, code refactoring, ablation study, visualisations and a proposed enhancement.

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Reproducibility Study of “CrossWalk: Fairness-enhanced Node Representation Learning”

Running our experiments

We are working with python 3.6, and gensim 3.8.3.

To run all the experiments reproduced in our paper, head to the CrossWalk directory and run run_experiments.sh. The code is meant to be run on UNIX-based systems.

The results files along with the corresponding plots can be found in the respective directories of each experiement.

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Reproducibility report for "CrossWalk: Fairness-enhanced Node Representation Learning" - Investigating the original claims, code refactoring, ablation study, visualisations and a proposed enhancement.

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  • Python 86.8%
  • Shell 6.0%
  • Makefile 4.0%
  • Batchfile 3.2%