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Pietro Liò

Observed names: Lio, Pietro, Liò, Pietro, Lió, Pietro, Pietro LIÒ, Pietro Lió
ORCID: 0000-0002-0540-5053
Observed ORCID: 0000-0002-0540-5053
OpenAlex ID: A5127785355
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
2022 · Cristian Bodnar, Francesco Di Giovanni, et al. · neural information processing systems · 54
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Graph Denoising Diffusion for Inverse Protein Folding
2023 · Kai Yi, Bingxin Zhou, et al. · neural information processing systems · 32
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Sheaf Hypergraph Networks
2023 · Iulia Duta, Giulia Cassarà, et al. · neural information processing systems · 23
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Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off
2022 · Mateo Espinosa Zarlenga, Pietro Barbiero, et al. · neural information processing systems · 23
Graph Neural Networks with Adaptive Readouts
2022 · David Buterez, Jon Paul Janet, et al. · neural information processing systems · 9
Composite Feature Selection Using Deep Ensembles
2022 · Fergus Imrie, Alexander Norcliffe, et al. · neural information processing systems · 5
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De novo design of RNA pseudoknots with deep learning
2026 · Jill Townley, Wipapat Kladwang, et al. · Science · 4
Machine Unlearning: A Perspective, Taxonomy, and Benchmark Evaluation
2026 · Cristian Cosentino, Simone Gatto, et al. · Future Internet · 3
SizeShiftReg: A Regularization Method for Improving Size-Generalization in Graph Neural Networks
2022 · Davide Buffelli, Pietro Lió, et al. · neural information processing systems · 3
Graphein - A Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
2022 · Arian Jamasb, Ramon Viñas Torné, et al. · neural information processing systems · 2
Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
2026 · Rubbi, Andrea, Merchant, Arpit, et al. · arXiv (Cornell University) · 1
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Topography-aware optimal transport for alignment of spatial omics data
2026 · Francesco Ceccarelli, Pietro Liò, et al. · Cell Reports Methods · 1
A susceptibility network analysis of disease trajectories leading to multiple sclerosis: A nationwide cohort study
2026 · Ali Ebrahimi, Uffe Kock Wiil, et al. · Multiple Sclerosis Journal · 1
Interpretable Graph Networks Formulate Universal Algebra Conjectures
2023 · Francesco Giannini, Stefano Fioravanti, et al. · neural information processing systems · 1
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LCT: Losslessly Compressed Tensors with GPU friendly execution for Training
2026 · Zhu, Max, Sun, Bohang, et al. · arXiv (Cornell University)
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BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks
2026 · Zhu, Max, Sun, Bohang, et al. · arXiv (Cornell University)
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PANDA: Prior-guided Attentional Dual-path Architecture
2026 · Jain, Rishabh, Belotti, Federico, et al. · arXiv (Cornell University)
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TopoLIA: Topology-Inspired Latent Interaction Attention for Drug Discovery
2026 · Liu, Xiang, Ren, Yiming, et al. · arXiv (Cornell University)
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Node-level Graph Neural Architecture Search Framework
2026 · Yanga, Lintao, Lia, Sirui, et al. · arXiv (Cornell University)
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Oscillatory Neural Dynamics over Sheaves
2026 · Van Looy, Jan-Willem, Trenta, Alessandro, et al. · arXiv (Cornell University)
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Mathematical Invariant-Enabled Topological Neural Networks for Molecular and Materials Property Prediction
2026 · Ren, Yiming, Liu, Xiang, et al. · arXiv (Cornell University)
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ARO: Aligned Representation learning for multi-Omics data
2026 · Singh, Amogh, Shah, Yash, et al. · arXiv (Cornell University)
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When Numbers Start Talking: Numerical Signalling and Strategic Behaviour Among LLMs
2026 · Buscemi, Alessio, Proverbio, Daniele, et al. · arXiv (Cornell University)
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Get a GRIP, this will be a long TRIP: A Quantifiable Long-Range Framework for Verifying Over-squashing
2026 · Caralt, Ferran Hernandez, Heilig, Simon, et al. · arXiv (Cornell University)
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Cup and Cap Topological Neural Network
2026 · Niedostatek, Marta, Caralt, Ferran Hernandez, et al. · arXiv (Cornell University)
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Works count: 58
Citation count: 162
H-index: 5
I10-index: 4
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