Pietro Lió - RankMe

70 papers A* 20A 1B 1C 1Journal 36Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning From Graph-Graph Relationship: A New Perspective on Graph-Level Anomaly Detection. IEEE Trans. Knowl. Data Eng. Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Hao Peng, Pietro Lió
2025	—	`conf`	Translating Genes into Insight: Causal Genomics for Diabetes Risk Prediction. AIiH (1) Sheresh Zahoor, Pietro Lió, Gaël Dias, Mohammed Hasanuzzaman
2025	C	`conf`	Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models. ISPA Gracie Zhou, Tiago Azevedo, Annelies Quaegebeur, Tanrada Pansuwan, Timothy Rittman, Pietro Lió
2025	J	`jnl`	UnifiedGreatMod: a new holistic modelling paradigm for studying biological systems on a complete and harmonious scale. Bioinform. Riccardo Aucello, Simone Pernice, Dora Tortarolo, Raffaele A. Calogero, Celia Herrera-Rincon, Giulia Ronchi, Stefano Geuna, Francesca Cordero, Pietro Lió, Marco Beccuti
2024	A*	`conf`	DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform. NeurIPS Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon V. Mathis, Riccardo Barbano, Vincent Dutordoir, Emile Mathieu, Urszula Julia Komorowska, Pietro Lió
2024	A*	`conf`	Deep Equilibrium Algorithmic Reasoning. NeurIPS Dobrik Georgiev, Joseph Wilson, Davide Buffelli, Pietro Lió
2024	—	`conf`	E(n) Equivariant Message Passing Cellular Networks. GRaM Veljko Kovac, Erik J. Bekkers, Pietro Lió, Floor Eijkelboom
2024	J	`jnl`	Elegans-AI: How the connectome of a living organism could model artificial neural networks. Neurocomputing Francesco Bardozzo, Andrea Terlizzi, Claudio Simoncini, Pietro Lió, Roberto Tagliaferri
2024	J	`jnl`	Guest Editorial: Deep Neural Networks for Graphs: Theory, Models, Algorithms, and Applications. IEEE Trans. Neural Networks Learn. Syst. Ming Li, Alessio Micheli, Yu Guang Wang, Shirui Pan, Pietro Lió, Giorgio Stefano Gnecco, Marcello Sanguineti
2024	J	`jnl`	Leveraging graph neural networks for supporting Automatic Triage of Patients. CoRR Annamaria Defilippo, Pierangelo Veltri, Pietro Lió, Pietro Hiram Guzzi
2023	J	`jnl`	A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution. CoRR Xiaoyong Mei, Yi Yang, Ming Li, Changqin Huang, Kai Zhang, Pietro Lió
2023	—	`conf`	A Federated Learning Benchmark for Drug-Target Interaction. WWW (Companion Volume) Gianluca Mittone, Filip Svoboda, Marco Aldinucci, Nicholas D. Lane, Pietro Lió
2023	—	`conf`	GAT-DNS: DNS Multivariate Time Series Prediction Model Based on Graph Attention Network. WWW (Companion Volume) Xiaofeng Lu, Xiaoyu Zhang, Pietro Lió
2023	A*	`conf`	Graph Denoising Diffusion for Inverse Protein Folding. NeurIPS Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Lió, Yuguang Wang
2023	A*	`conf`	Interpretable Graph Networks Formulate Universal Algebra Conjectures. NeurIPS Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Maria Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero
2023	J	`jnl`	Modular Multi-Source Prediction of Drug Side-Effects With DruGNN. IEEE ACM Trans. Comput. Biol. Bioinform. Pietro Bongini, Franco Scarselli, Monica Bianchini, Giovanna Maria Dimitri, Niccolò Pancino, Pietro Lió
2023	J	`jnl`	Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 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 R. 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
2023	A*	`conf`	Sheaf Hypergraph Networks. NeurIPS Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Lió
2023	—	`conf`	Synergy Between Mechanistic Modelling and Ensemble Feature Selection Approaches to Explore Multiscale Biological Heterogeneity. CIBB Riccardo Aucello, Nicola Licheri, Elena Rosso, Giulio Ferrero, Sandro Gepiro Contaldo, Simone Pernice, Pietro Lió, Francesca Cordero, Marco Beccuti
2022	A*	`conf`	3D Infomax improves GNNs for Molecular Property Prediction. ICML Hannes Stärk, Dominique Beaini, Gabriele Corso, Prudencio Tossou, Christian Dallago, Stephan Günnemann, Pietro Lió
2022	A*	`conf`	Algorithmic Concept-Based Explainable Reasoning. AAAI Dobrik Georgiev, Pietro Barbiero, Dmitry Kazhdan, Petar Velickovic, Pietro Lió
2022	A*	`conf`	Attentional Meta-learners for Few-shot Polythetic Classification. ICML Ben J. Day, Ramón Viñas Torné, Nikola Simidjievski, Pietro Lió
2022	J	`jnl`	Classification of datasets with imputed missing values: does imputation quality matter? CoRR 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
2022	A*	`conf`	Composite Feature Selection Using Deep Ensembles. NeurIPS Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar
2022	A*	`conf`	Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. NeurIPS 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
2022	A*	`conf`	Entropy-Based Logic Explanations of Neural Networks. AAAI Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
2022	J	`jnl`	Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. CoRR Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Lió
2022	A*	`conf`	Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks. NeurIPS Arian R. Jamasb, Ramón Viñas Torné, Eric Ma, Yuanqi Du, Charles Harris, Kexin Huang, Dominic Hall, Pietro Lió, Tom L. Blundell
2022	—	`conf`	Joint Group-Wise Motion Estimation and Segmentation of Cardiac Cine MR Images Using Recurrent U-Net. MIUA Pengfang Qian, Junwei Yang, Pietro Lió, Peng Hu, Haikun Qi
2022	J	`jnl`	Multimodal and multicontrast image fusion via deep generative models. Inf. Fusion Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Lió, Nicola Toschi
2022	A*	`conf`	Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs. NeurIPS Cristian Bodnar, Francesco Di Giovanni, Benjamin Paul Chamberlain, Pietro Lió, Michael M. Bronstein
2022	A	`conf`	Robust android malware detection based on subgraph network and denoising GCN network. MobiSys Xiaofeng Lu, Jinglun Zhao, Pietro Lió
2022	A*	`conf`	SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks. NeurIPS Davide Buffelli, Pietro Lió, Fabio Vandin
2022	J	`jnl`	Structure-based Drug Design with Equivariant Diffusion Models. CoRR 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
2021	J	`jnl`	A Fine-Grained IoT Data Access Control Scheme Combining Attribute-Based Encryption and Blockchain. Secur. Commun. Networks Xiaofeng Lu, Songbing Fu, Cheng Jiang, Pietro Lió
2021	J	`jnl`	Approximate Latent Force Model Inference. CoRR Jacob Moss, Felix L. Opolka, Bianca Dumitrascu, Pietro Lió
2021	A*	`conf`	Directional Graph Networks. ICML Dominique Beaini, Saro Passaro, Vincent Létourneau, William L. Hamilton, Gabriele Corso, Pietro Lió
2021	J	`jnl`	Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques. IEEE Access 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
2021	J	`jnl`	Entropy-based Logic Explanations of Neural Networks. CoRR Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Pietro Lió, Marco Gori, Stefano Melacci
2021	A*	`conf`	How Framelets Enhance Graph Neural Networks. ICML Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar
2021	J	`jnl`	How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 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
2021	J	`jnl`	Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance. Briefings Bioinform. Kexin Chen, Haoming Xu, Yiming Lei, Pietro Lió, Yuan Li, Hongyan Guo, Mohammad Ali Moni
2021	J	`jnl`	Logic Explained Networks. CoRR Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Lió, Marco Maggini, Stefano Melacci
2021	J	`jnl`	Modular Neural Ordinary Differential Equations. CoRR Max Zhu, Pietro Lió, Jacob Moss
2021	J	`jnl`	Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. Bioinform. Francesco Bardozzo, Pietro Lió, Roberto Tagliaferri
2021	A*	`conf`	Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks. ICML Cristian Bodnar, Fabrizio Frasca, Yuguang Wang, Nina Otter, Guido F. Montúfar, Pietro Lió, Michael M. Bronstein
2020	J	`jnl`	A Novel Methodology for designing Policies in Mobile Crowdsensing Systems. Pervasive Mob. Comput. Alessandro Di Stefano, Marialisa Scatà, Barbara Attanasio, Aurelio La Corte, Pietro Lió, Sajal K. Das
2020	J	`jnl`	Computational Logic for Biomedicine and Neurosciences. CoRR Abdorrahim Bahrami, Elisabetta De Maria, Joëlle Despeyroux, Amy P. Felty, Pietro Lió, Carlos Olarte
2020	A*	`conf`	Constraining Variational Inference with Geometric Jensen-Shannon Divergence. NeurIPS Jacob Deasy, Nikola Simidjievski, Pietro Lió
2020	J	`jnl`	Gene Regulatory Network Inference with Latent Force Models. CoRR Jacob Moss, Pietro Lió
2020	J	`jnl`	Graph representation forecasting of patient's medical conditions: towards a digital twin. CoRR Pietro Barbiero, Ramón Viñas Torné, Pietro Lió
2020	J	`jnl`	Integrating Petri Nets and Flux Balance Methods in Computational Biology Models: a Methodological and Computational Practice. Fundam. Informaticae Simone Pernice, Laura Follia, Gianfranco Balbo, Luciano Milanesi, Giulia Sartini, Niccoló Totis, Pietro Lió, Ivan Merelli, Francesca Cordero, Marco Beccuti
2020	J	`jnl`	ML-SIM: A deep neural network for reconstruction of structured illumination microscopy images. CoRR Charles N. Christensen, Edward N. Ward, Pietro Lió, Clemens F. Kaminski
2020	J	`jnl`	Neural Bipartite Matching. CoRR Dobrik Georgiev, Pietro Lió
2020	A*	`conf`	On Second Order Behaviour in Augmented Neural ODEs. NeurIPS Alexander Norcliffe, Cristian Bodnar, Ben Day, Nikola Simidjievski, Pietro Lió
2020	J	`jnl`	Path Integral Based Convolution and Pooling for Graph Neural Networks. CoRR Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lió
2020	A*	`conf`	Proximal Distilled Evolutionary Reinforcement Learning. AAAI Cristian Bodnar, Ben Day, Pietro Lió
2020	J	`jnl`	The Computational Patient has Diabetes and a COVID. CoRR Pietro Barbiero, Pietro Lió
2019	—	`ed.`	Complex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018, Cambridge, UK, December 11-13, 2018. COMPLEX NETWORKS (1) Luca Maria Aiello, Chantal Cherifi, Hocine Cherifi, Renaud Lambiotte, Pietro Lió, Luis M. Rocha
2019	—	`ed.`	Complex Networks and Their Applications VII - Volume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018 COMPLEX NETWORKS (2) Luca Maria Aiello, Chantal Cherifi, Hocine Cherifi, Renaud Lambiotte, Pietro Lió, Luis M. Rocha
2019	J	`jnl`	Factorised Neural Relational Inference for Multi-Interaction Systems. CoRR Ezra Webb, Ben Day, Helena Andrés-Terré, Pietro Lió
2019	B	`conf`	Lesion focused super-resolution. Image Processing Jin Zhu, Guang Yang, Pietro Lió
2019	J	`jnl`	Machine Learning-Based Models for Early Stage Detection of Autism Spectrum Disorders. IEEE Access Tania Akter, Md. Shahriare Satu, Md. Imran Khan, Mohammad Hanif Ali, Shahadat Uddin, Pietro Lió, Julian M. W. Quinn, Mohammad Ali Moni
2019	J	`jnl`	Personalisable Clinical Decision Support System. ERCIM News Tamara Müller, Pietro Lió
2019	J	`jnl`	Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders. CoRR Helena Andrés-Terré, Pietro Lió
2019	J	`jnl`	Predicting factors for survival of breast cancer patients using machine learning techniques. BMC Medical Informatics Decis. Mak. Mogana Darshini Ganggayah, Nur Aishah Taib, Yip Cheng Har, Pietro Lió, Sarinder Kaur Dhillon
2018	—	`conf`	Multi-omic Network Regression: Methodology, Tool and Case Study. COMPLEX NETWORKS (2) Vandan Parmar, Pietro Lió
2018	—	`conf`	Neural Models for Brain Networks Connectivity Analysis. CIBB Razvan Kusztos, Giovanna Maria Dimitri, Pietro Lió
2018	J	`jnl`	Seeing the wood for the trees: a forest of methods for optimization and omic-network integration in metabolic modelling. Briefings Bioinform. Supreeta Vijayakumar, Maxwell Conway, Pietro Lió, Claudio Angione
2017	—	`conf`	Hierarchical Block Matrix Approach for Multi-view Clustering. CIBB Angela Serra, Maria Domenica Guida, Pietro Lió, Roberto Tagliaferri