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Manel Gil-Sorribes
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2020 – today
- 2026
- [j2]Manel Gil-Sorribes, Alexis Molina:
Addressing model overcomplexity in drug-drug interaction prediction with molecular fingerprints. J. Cheminformatics 18(1): 38 (2026) - [i5]Manel Gil-Sorribes, Julia Vilalta Mor, Isaac Filella-Merce, Robert Soliva, Álvaro Ciudad, Victor Guallar, Alexis Molina:
Tensor-DTI: Enhancing Biomolecular Interaction Prediction with Contrastive Embedding Learning. CoRR abs/2601.05792 (2026) - [i4]Bertran Miquel-Oliver, Manel Gil-Sorribes, Victor Guallar, Alexis Molina:
Effective Resistance Rewiring: A Simple Topological Correction for Over-Squashing. CoRR abs/2603.11944 (2026) - 2025
- [j1]Lev Telyatnikov, Guillermo Bernárdez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T. Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, Victor Guallar, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V. Nikitin, Giordan Escalona, Michael Banf, Dominik Filipiak, Liliya Imasheva, Max Schattauer, Alvaro L. Martinez, Halley Fritze, Marissa Masden, Valentina Sánchez, Manuel Lecha, Andrea Cavallo, Claudio Battiloro, Matthew Piekenbrock, Mauricio Tec, George Dasoulas, Nina Miolane, Simone Scardapane, Theodore Papamarkou:
TopoBench: A Framework for Benchmarking Topological Deep Learning. J. Data-centric Mach. Learn. Res. 2: (20):1-39 (2025) - [i3]Manel Gil-Sorribes, Alexis Molina:
Addressing Model Overcomplexity in Drug-Drug Interaction Prediction With Molecular Fingerprints. CoRR abs/2503.23550 (2025) - 2024
- [c1]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. GRaM 2024: 420-428 - [i2]Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol-Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli
, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024) - [i1]Adrián Morales-Pastor, Raquel Vázquez-Reza, Milosz Wieczór, Clàudia Valverde, Manel Gil-Sorribes, Bertran Miquel-Oliver, Álvaro Ciudad, Alexis Molina:
Character-level Tokenizations as Powerful Inductive Biases for RNA Foundational Models. CoRR abs/2411.11808 (2024)
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