Pietro Lió

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 60

Top Topics

Cancer Patients

Machine Learning

Top Venues

Publications

Annamaria Defilippo, Pierangelo Veltri, Pietro Lió, Pietro Hiram Guzzi
Leveraging graph neural networks for supporting Automatic Triage of Patients. CoRR (2024)
Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Francesco Bardozzo, Andrea Terlizzi, Claudio Simoncini, Pietro Lió, Roberto Tagliaferri
Elegans-AI: How the connectome of a living organism could model artificial neural networks. Neurocomputing 584 (2024)
Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero
Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS (2023)
Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió
Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió
A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) (2023)
Xiaoyong Mei, Yi Yang, Ming Li, Changqin Huang, Kai Zhang, Pietro Lió
A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution. CoRR (2023)
Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5 (7) (2023)
Xiaofeng Lu, Xiaoyu Zhang, Pietro Lió
GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network. WWW (Companion Volume) (2023)
Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió
Sheaf Hypergraph Networks. NeurIPS (2023)
Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar
Composite Feature Selection Using Deep Ensembles. NeurIPS (2022)
Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió
3D Infomax improves GNNs for Molecular Property Prediction. ICML (2022)
Arne Schneuing, Yuanqi Du, Charles Harris, Arian R. Jamasb, Ilia Igashov, Weitao Du, Tom L. Blundell, Pietro Lió, Carla Gomes, Max Welling, Michael M. Bronstein, Bruno E. Correia
Structure-based Drug Design with Equivariant Diffusion Models. CoRR (2022)
Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. NeurIPS (2022)
Xiaofeng Lu, Jinglun Zhao, Pietro Lió
Robust android malware detection based on subgraph network and denoising GCN network. MobiSys (2022)
Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
Algorithmic Concept-Based Explainable Reasoning. AAAI (2022)
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
Classification of datasets with imputed missing values: does imputation quality matter? CoRR (2022)
Davide Buffelli, Pietro Lió, Fabio Vandin
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks. NeurIPS (2022)
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR (2022)
Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks. NeurIPS (2022)
Giovanna Maria Dimitri, Simeon Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi
Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion 88 (2022)
Mateo Espinosa Zarlenga, Pietro Barbiero, Gabriele Ciravegna, Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti, Zohreh Shams, Frédéric Precioso, Stefano Melacci, Adrian Weller, Pietro Lió, Mateja Jamnik
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS (2022)
Pengfang Qian, Junwei Yang, Pietro Lió, Peng Hu, Haikun Qi
Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net. MIUA (2022)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
Entropy-Based Logic Explanations of Neural Networks. AAAI (2022)
Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió
Attentional Meta-learners for Few-shot Polythetic Classification. ICML (2022)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
Logic Explained Networks. CoRR (2021)
Francesco Bardozzo, Pietro Lió, Roberto Tagliaferri
Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. Bioinform. 37 (10) (2021)
Kexin Chen, Haoming Xu, Yiming Lei, Pietro Lió, Yuan Li, Hongyan Guo, Mohammad Ali Moni
Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance. Briefings Bioinform. 22 (6) (2021)
Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió
Approximate Latent Force Model Inference. CoRR (2021)
Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió
Directional Graph Networks. ICML (2021)
Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
How Framelets Enhance Graph Neural Networks. ICML (2021)
Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, Md Rashed-Al-Mahfuz, Md. Saiful Islam, Md. Kamrul Hasan, Md. Sabir Hossain, Mohiuddin Ahmad, Shahadat Uddin, A. K. M. Azad, Salem A. Alyami, Md. Atiqur Rahman Ahad, Pietro Lió
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 9 (2021)
Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. ICML (2021)
Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood, Eoin F. McKinney, Daniel Jarrett, Pietro Lió, Ari Ercole
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 110 (1) (2021)
Max Zhu, Pietro Lió, Jacob Moss
Modular Neural Ordinary Differential Equations. CoRR (2021)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
Entropy-based Logic Explanations of Neural Networks. CoRR (2021)
Xiaofeng Lu, Songbing Fu, Cheng Jiang, Pietro Lió
A Fine-Grained IoT Data Access Control Scheme Combining Attribute-Based Encryption and Blockchain. Secur. Commun. Networks 2021 (2021)
Jacob Moss, Pietro Lió
Gene Regulatory Network Inference with Latent Force Models. CoRR (2020)
Jacob Deasy, Nikola Simidjievski, Pietro Lió
Constraining Variational Inference with Geometric Jensen-Shannon Divergence. NeurIPS (2020)
Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccoló Totis, Pietro Lió, Ivan Merelli, Francesca Cordero, Marco Beccuti
Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice. Fundam. Informaticae 171 (1-4) (2020)
Dobrik Georgiev, Pietro Lió
Neural Bipartite Matching. CoRR (2020)
Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió
Path Integral Based Convolution and Pooling for Graph Neural Networks. CoRR (2020)
Alessandro Di Stefano, Marialisa Scatà, Barbara Attanasio, Aurelio La Corte, Pietro Lió, Sajal K. Das
A Novel Methodology for designing Policies in Mobile Crowdsensing Systems. Pervasive Mob. Comput. 67 (2020)
Pietro Barbiero, Ramón Viñas Torné, Pietro Lió
Graph representation forecasting of patient's medical conditions: towards a digital twin. CoRR (2020)
Charles N. Christensen, Edward N. Ward, Pietro Lió, Clemens F. Kaminski
ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images. CoRR (2020)
Cristian Bodnar, Ben Day, Pietro Lió
Proximal Distilled Evolutionary Reinforcement Learning. AAAI (2020)
Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió
On Second Order Behaviour in Augmented Neural ODEs. NeurIPS (2020)
Pietro Barbiero, Pietro Lió
The Computational Patient has Diabetes and a COVID. CoRR (2020)
Abdorrahim Bahrami, Elisabetta De Maria, Joëlle Despeyroux, Amy P. Felty, Pietro Lió, Carlos Olarte
Computational Logic for Biomedicine and Neurosciences. CoRR (2020)
Jin Zhu, Guang Yang, Pietro Lió
Lesion focused super-resolution. Medical Imaging: Image Processing (2019)
Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni
Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access 7 (2019)
Tamara Müller, Pietro Lió
Personalisable Clinical Decision Support System. ERCIM News 2019 (116) (2019)
Helena Andrés-Terré, Pietro Lió
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders. CoRR (2019)
Mogana Darshini Ganggayah, Nur Aishah Taib, Yip Cheng Har, Pietro Lió, Sarinder Kaur Dhillon
Predicting factors for survival of breast cancer patients using machine learning techniques. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Ezra Webb, Ben Day, Helena Andrés-Terré, Pietro Lió
Factorised Neural Relational Inference for Multi-Interaction Systems. CoRR (2019)
Razvan Kusztos, Giovanna Maria Dimitri, Pietro Lió
Neural Models for Brain Networks Connectivity Analysis. CIBB (2018)
Vandan Parmar, Pietro Lió
Multi-omic Network Regression: Methodology, Tool and Case Study. COMPLEX NETWORKS (2) (2018)
Supreeta Vijayakumar, Maxwell Conway, Pietro Lió, Claudio Angione
Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling. Briefings Bioinform. 19 (6) (2018)
Angela Serra, Maria Domenica Guida, Pietro Lió, Roberto Tagliaferri
Hierarchical Block Matrix Approach for Multi-view Clustering. CIBB (2017)