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‎bibliography/Belitsky_2025.html‎

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<!DOCTYPE html>
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<meta charset="utf-8">
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<meta http-equiv="X-UA-Compatible" content="IE=edge">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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href="/images/favicon-16x16.png" sizes="16x16">
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<link rel="icon" type="image/png"
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href="/images/favicon-32x32.png" sizes="32x32">
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<title>[Re] Learning Fair Graph Representations via Automated Data Augmentations</title>
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<meta name="description" content="Reproducible Science is good.<br/> Replicated Science is better.">
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<link rel="stylesheet" href="/css/main.css">
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<link rel="canonical" href="http://rescience.github.io/bibliography/Belitsky_2025.html">
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<link rel="alternate" type="application/rss+xml" title="ReScience C" href="http://rescience.github.io/feed.xml" />
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<script language="JavaScript" type="text/javascript">
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function toggleDiv(element){
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if(document.getElementById(element).style.display == 'none')
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document.getElementById(element).style.display = 'block';
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<header class="site-header">
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<a href="http://rescience.github.io">ReScience C</a>
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<a href="#" class="menu-icon">
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<svg viewBox="0 0 18 15">
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<path fill="#424242" d="M18,1.484c0,0.82-0.665,1.484-1.484,1.484H1.484C0.665,2.969,0,2.304,0,1.484l0,0C0,0.665,0.665,0,1.484,0 h15.031C17.335,0,18,0.665,18,1.484L18,1.484z"/>
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</a>
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<div class="trigger">
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<a class="page-link" href="/read/">READ</a><a class="page-link" href="/write/">WRITE</a><a class="page-link" href="/edit/">EDIT</a><a class="page-link" href="/board/">BOARD</a><a class="page-link" href="/faq/">FAQ</a><a class="page-link" href="/news/">NEWS</a>
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<h3><span id="Belitsky:2025"><span style="font-variant: small-caps">Belitsky, M., Laitenberger, F., Sheremet, D., and Belkacemi, N.</span> 2025. [Re] Learning Fair Graph Representations via Automated Data Augmentations. <i>ReScience C</i> <i>10</i>, 1, #6.</span></h3>
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<table>
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<tr>
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<td><b>Article (PDF):</b></td>
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<td><a href="https://zenodo.org/record/16374814/files/article.pdf">https://zenodo.org/record/16374814/files/article.pdf</a></td>
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</tr>
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<tr>
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<td><b>Title:</b></td>
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<td>[Re] Learning Fair Graph Representations via Automated Data Augmentations</td>
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</tr>
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<tr>
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<td><b>Author(s):</b></td>
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<td>Belitsky, Max and Laitenberger, Filipe and Sheremet, Denys and Belkacemi, Nordin</td>
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</tr>
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<td><b>Journal:</b></td>
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<td>ReScience C</td>
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<td><b>Year:</b></td>
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<td>2025</td>
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<td><b>Month:</b></td>
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<td>jul</td>
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<td><b>Volume:</b></td>
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<td>10</td>
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<td><b>Issue:</b></td>
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<td>1</td>
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<td><b>Number:</b></td>
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<td>#6</td>
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<td><b>DOI:</b></td>
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<td><a href="http://dx.doi.org/10.5281/zenodo.16374814">10.5281/zenodo.16374814</a></td>
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</tr>
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<td><b>Code URL:</b></td>
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<td><a href="https://zenodo.org/records/13834566">https://zenodo.org/records/13834566</a></td>
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<td><b>Code DOI:</b></td>
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<td><a href="http://dx.doi.org/10.5281/zenodo.13834566">10.5281/zenodo.13834566</a></td>
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</tr>
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<td><b>Data URL:</b></td>
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<td><a href="https://zenodo.org/records/13837423">https://zenodo.org/records/13837423</a></td>
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</tr>
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<td><b>Data DOI:</b></td>
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<td><a href="http://dx.doi.org/10.5281/zenodo.13837423">10.5281/zenodo.13837423</a></td>
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</tr>
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<td><b>Review URL:</b></td>
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<td><a href="https://openreview.net/forum?id=9OlU865dAF">https://openreview.net/forum?id=9OlU865dAF</a></td>
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<td><b>Cite as:</b></td>
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<td><span id="Belitsky:2025"><span style="font-variant: small-caps">Belitsky, M., Laitenberger, F., Sheremet, D., and Belkacemi, N.</span> 2025. [Re] Learning Fair Graph Representations via Automated Data Augmentations. <i>ReScience C</i> <i>10</i>, 1, #6.</span></td>
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</table>
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<div class="footer-col-wrapper">
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<div class="footer-col footer-col-1">
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<ul class="social-media-list">
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<li><a href="http://github.com/rescience/rescience.github.io">Website sources</a></li>
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</ul>
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</div>
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<div class="footer-col footer-col-2">
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<ul class="social-media-list">
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<li><a href="http://rescience.github.io">ReScience C</a></li>
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</ul>
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</div>
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<div class="footer-col footer-col-3">
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<ul class="social-media-list">
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<li>ISSN 2430-3658</li>
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</ul>
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‎feed.xml‎

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<description>Reproducible Science is good.&lt;br/&gt; Replicated Science is better.</description>
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<pubDate>Wed, 23 Jul 2025 20:12:52 +0200</pubDate>
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