[Re] Learning Fair Graph Representations via Automated Data Augmentations

[Thiggel]

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
Suggested editor:

[rougier]

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

[Thiggel]

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

[rougier]

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.

[MaxBelitsky]

Hi @rougier, we added a directory with the ReScience template: https://github.com/Thiggel/FACT/tree/main/rescience_submission. Please, let us know if anything else is needed.

[rougier]

Got it. Can you save your Github repo on Software Heritage and post here the swid you'll get?

[Thiggel]

Alright, the id is 417230531. Let us know if you need anything else.

[rougier]

Thanks. It shoud start with swid. Can you post the full id?

[Thiggel]

The origin SWHID is:
swh:1:ori:35c0a91c31b06a24561bece63e76ccecc1787bcb

The snapshot SWHID is:
swh:1:snp:894decb239b454eaed7dc5c99d9fe6b5400d7a26

Is this what you mean? or where can I find the swid?

[rougier]

Sorry I'm late publishing your paper. Can you give ORCID for all authors?

[Thiggel]

Hey, the orcids are as follows:

Max Belitsky: 0009-0000-0396-2916
Nordin Belkacemi: 0009-0005-0288-3024
Filipe Laitenberger: 0009-0003-7836-9828
Denys Sheremet does not have an ORCID id.

Best regards