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publications.html
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<!doctype html>
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<meta name="author" content="Federico Barbero">
<meta name="description" content="PhD Student in Machine Learning at the University of Oxford">
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<div class="col-lg-12">
<div class="row d-flex flex-wrap align-items-center" style="margin-top: 5px">
<div class="col-md-12"><h5> <strong>Locality-Aware Graph-Rewiring in GNNs</strong> <strong> <a href="https://arxiv.org/abs/2310.01668" target="_blank" rel="noopener noreferrer">
<i class="fas fa-file-pdf"></i>
</a> </strong></h5>
<p style="line-height:22px; font-size: 18px;" class="mt-0"><span class="highlighted-main">Federico Barbero</span>, Ameya Velingker, Amin Saberi, Michael Bronstein, Francesco Di Giovanni <br>International Conference on Learning Representations (ICLR 2024)</p></div><hr class="mt-0 mb-0">
</div>
<div class="col-md-12"><h5> <strong>On Over-Squashing in Message Passing Neural Networks</strong> <strong> <a href="https://arxiv.org/abs/2302.02941" target="_blank" rel="noopener noreferrer">
<i class="fas fa-file-pdf"></i>
</a> </strong></h5>
<p style="line-height:22px; font-size: 18px;" class="mt-0">Francesco Di Giovanni, Lorenzo Giusti, <span class="highlighted-main">Federico Barbero</span>, Giulia Luise, Pietro Lio, Michael Bronstein <br>International Conference on Machine Learning (ICML 2023)</p></div><hr class="mt-0 mb-0">
</div>
<div class="row d-flex flex-wrap align-items-center" style="margin-top: 5px">
<div class="col-md-12"><h5> <strong>Latent Graph Inference using Product Manifolds</strong> <strong> <a href="https://arxiv.org/abs/2211.16199" target="_blank" rel="noopener noreferrer">
<i class="fas fa-file-pdf"></i>
</a> </strong></h5>
<p style="line-height:22px; font-size: 18px;" class="mt-0">Haitz Sáez de Ocáriz Borde, Anees Kazi, <span class="highlighted-main">Federico Barbero</span>, Pietro Lio <br>International Conference on Learning Representations (ICLR 2023)</p></div><hr class="mt-0 mb-0">
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<div class="col-md-12"><h5> <strong>Sheaf Attention Networks</strong> <strong> <a href="https://openreview.net/pdf?id=LIDvgVjpkZr" target="_blank" rel="noopener noreferrer">
<i class="fas fa-file-pdf"></i>
</a> </strong></h5>
<p style="line-height:22px; font-size: 18px;" class="mt-0"> <span class="highlighted-main">Federico Barbero</span>, Cristian Bodnar, Haitz S. de Ocáriz Borde, Pietro Liò <br>NeurIPS workshop on Neural Representations, 2022</p></div><hr class="mt-0 mb-0">
</div>
<div class="row d-flex flex-wrap align-items-center" style="margin-top: 5px">
<div class="col-md-12"><h5> <strong>Graph Neural Network Expressivity and Meta-Learning for Molecular Property Regression</strong> <strong> <a href="https://arxiv.org/abs/2209.13410" target="_blank" rel="noopener noreferrer">
<i class="fas fa-file-pdf"></i>
</a> </strong></h5>
<p style="line-height:22px; font-size: 18px;" class="mt-0"> Haitz S. de Ocáriz Borde, <span class="highlighted-main">Federico Barbero</span> <br>Learning on Graphs Conference, 2022</p></div><hr class="mt-0 mb-0">
</div>
<div class="row d-flex flex-wrap align-items-center" style="margin-top: 5px">
<div class="col-md-12"><h5> <strong>Sheaf Neural Networks with Connection Laplacians</strong> <strong> <a href="https://arxiv.org/abs/2206.08702" target="_blank" rel="noopener noreferrer">
<i class="fas fa-file-pdf"></i>
</a> </strong></h5>
<p style="line-height:22px; font-size: 18px;" class="mt-0"> <span class="highlighted-main">Federico Barbero</span>, Cristian Bodnar, Haitz S. de Ocáriz Borde, Michael Bronstein, Petar Veličković, Pietro Liò <br>ICML Workshop on Topology, Algebra, and Geometry in ML, 2022</p></div><hr class="mt-0 mb-0">
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<div class="col-md-12"><h5> <strong>Transcending TRANSCEND: Revisiting Malware Classification in the Presence of Concept Drift</strong> <strong> <a href="https://arxiv.org/abs/2010.03856" target="_blank" rel="noopener noreferrer">
<i class="fas fa-file-pdf" style="padding-right: 3px"></i></a><a href="https://www.youtube.com/watch?v=fqxr7cnPJ3M" target="_blank" rel="noopener noreferrer"><i class="fa-brands fa-youtube"></i></a></strong></h5>
<p style="line-height:22px; font-size: 18px;" class="mt-0"> <strong>Federico Barbero*</strong>, Feargus Pendlebury*, Fabio Pierazzi, and Lorenzo Cavallaro <br>43rd IEEE Symposium on Security and Privacy, 2022</p></div><hr class="mt-0 mb-0">
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