Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians von Eynard, Davide, Kovnatsky, Artiom, Bronstein, Michael M., Glashoff, Klaus, Bronstein, Alexander M.

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Shape-from-Operator: Recovering Shapes from Intrinsic Operators von Boscaini, Davide, Eynard, Davide, Kourounis, Drosos, Bronstein, Michael M.

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Exploiting tag similarities to discover synonyms and homonyms in folksonomies von Eynard, Davide, Mazzola, Luca, Dattolo, Antonina

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Exploiting tag similarities to discover synonyms and homonymsinfolksonomies von Eynard, Davide, Mazzola, Luca, Dattolo, Antonina

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Search Computing: Managing Complex Search Queries von Ceri, S, Abid, A, Abu Helou, Mamoun, Barbieri, D, Bozzon, A, Braga, D, Brambilla, M, Campi, A, Corcoglioniti, F, Della Valle, Emanuele, Eynard, D, Fraternali, P, Grossniklaus, M, Martinenghi, D, Ronchi, S, Tagliasacchi, M, Vadacca, S

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Search Computing: Managing Complex Search Queries : INFORMATION OVERLOAD von CERI, Stefano, ABID, Adnan, EYNARD, Davide, FRATERNALI, Piero, GROSSNIKLAUS, Michael, MARTINENGHI, Davide, RONCHI, Stefania, TAGLIASACCHI, Marco, VADACCA, Salvatore, ABU HELOU, Mamoun, BARBIERI, Davide, BOZZON, Alessandro, BRAGA, Daniele, BRAMBILLA, Marco, CAMPI, Alessandro, CORCOGLIONITI, Francesco, DELLA VALLE, Ernanuele

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E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems von Chia, Patrick John, Attanasio, Giuseppe, Tagliabue, Jacopo, Bianchi, Federico, Greco, Ciro, Moreira, Gabriel de Souza P, Eynard, Davide, Husain, Fahd

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EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments von Bianchi, Federico, Chia, Patrick John, Greco, Ciro, Pomo, Claudio, Moreira, Gabriel, Eynard, Davide, Husain, Fahd, Tagliabue, Jacopo

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Beltrami Flow and Neural Diffusion on Graphs von Chamberlain, Benjamin Paul, Rowbottom, James, Eynard, Davide, Di Giovanni, Francesco, Dong, Xiaowen, Bronstein, Michael M

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Temporal Graph Networks for Deep Learning on Dynamic Graphs von Rossi, Emanuele, Chamberlain, Ben, Frasca, Fabrizio, Eynard, Davide, Monti, Federico, Bronstein, Michael

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SIGN: Scalable Inception Graph Neural Networks von Frasca, Fabrizio, Rossi, Emanuele, Eynard, Davide, Chamberlain, Ben, Bronstein, Michael, Monti, Federico

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Fake News Detection on Social Media using Geometric Deep Learning von Monti, Federico, Frasca, Fabrizio, Eynard, Davide, Mannion, Damon, Bronstein, Michael M

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EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments von Bianchi, Federico, Chia, Patrick John, Greco, Ciro, Pomo, Claudio, Moreira, Gabriel, Eynard, Davide, Husain, Fahd, Tagliabue, Jacopo

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Shape-from-intrinsic operator von Boscaini, Davide, Eynard, Davide, Bronstein, Michael M

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E Pluribus Unum: Guidelines on Multi-Objective Evaluation of Recommender Systems von Chia, Patrick John, Attanasio, Giuseppe, Tagliabue, Jacopo, Bianchi, Federico, Greco, Ciro, Gabriel de Souza P Moreira, Eynard, Davide, Husain, Fahd

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Beltrami Flow and Neural Diffusion on Graphs von Chamberlain, Benjamin Paul, Rowbottom, James, Eynard, Davide, Francesco Di Giovanni, Dong, Xiaowen, Bronstein, Michael M

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Structure-preserving color transformations using Laplacian commutativity von Eynard, Davide, Kovnatsky, Artiom, Bronstein, Michael M

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SIGN: Scalable Inception Graph Neural Networks von Frasca, Fabrizio, Rossi, Emanuele, Eynard, Davide, Chamberlain, Ben, Bronstein, Michael, Monti, Federico

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Temporal Graph Networks for Deep Learning on Dynamic Graphs von Rossi, Emanuele, Chamberlain, Ben, Frasca, Fabrizio, Eynard, Davide, Monti, Federico, Bronstein, Michael

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Shape-from-intrinsic operator von Boscaini, Davide, Eynard, Davide, Bronstein, Michael M

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