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[Re] Learning Fair Graph Representations via Automated Data Augmentations #90

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Thiggel opened this issue Sep 25, 2024 · 3 comments
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@Thiggel
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Thiggel commented Sep 25, 2024

Original article:

PDF URL: https://github.com/Thiggel/FACT/blob/main/Paper.pdf
Metadata URL: https://github.com/Thiggel/FACT/blob/main/metadata.yaml
Code URL: https://github.com/Thiggel/FACT

Scientific domain: Artificial Intelligence
Programming language: Python
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@rougier
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rougier commented Oct 11, 2024

Thanks for your submission. Was your paper part of the ICLM reproducibility challenge na dif es, are there any open peer review available ?

@Thiggel
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Thiggel commented Oct 11, 2024

Yes it was, the review can be found here: https://openreview.net/forum?id=9OlU865dAF

@rougier rougier self-assigned this Jan 6, 2025
@rougier
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rougier commented Jan 6, 2025

Oh nice, so we don't need to review again. What is not clear to me is the reason TMLR rejected your paper in the first place. Anyway, based on the reviews and the revisions you made, I think we can publish it provided you use the ReScience template. Can you adapt the paper and possibly put it in a dedicated repo (or directory in your project) since I'll need to fork it for publication.

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