Pietro Liò

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 334

Top Venues

Publications

Lintao Yang, Pietro Liò, Xu Shen, Yuyang Zhang, Chengbin Peng
Adaptive multi-scale Graph Neural Architecture Search framework. Neurocomputing 599 (2024)
Bao Nguyen, Lorenzo Sani, Xinchi Qiu, Pietro Liò, Nicholas D. Lane
Sheaf HyperNetworks for Personalized Federated Learning. CoRR (2024)
Xiangyu Zhao, Zehui Li, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
Enhancing Real-World Complex Network Representations with Hyperedge Augmentation. CoRR (2024)
Andrea Barucci, Giulia Ciacci, Pietro Liò, Tiago Azevedo, Andrea Di Cencio, Marco Merella, Giovanni Bianucci, Giulia Bosio, Simone Casati, Alberto Collareta
Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks. CoRR (2024)
Elsa Lawrence, Adham El-Shazly, Srijit Seal, Chaitanya K. Joshi, Pietro Liò, Shantanu Singh, Andreas Bender, Pietro Sormanni, Matthew Greenig
Understanding Biology in the Age of Artificial Intelligence. CoRR (2024)
Dobrik Georgiev, Pietro Liò, Davide Buffelli
The Deep Equilibrium Algorithmic Reasoner. CoRR (2024)
Adrián Bazaga, Pietro Liò, Gos Micklem
HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs. CoRR (2024)
Zhikang Wang, Jiani Ma, Qian Gao, Chris Bain, Seiya Imoto, Pietro Liò, Hongmin Cai, Hao Chen, Jiangning Song
Dual-stream multi-dependency graph neural network enables precise cancer survival analysis. Medical Image Anal. 97 (2024)
Tiansi Dong, Mateja Jamnik, Pietro Liò
Sphere Neural-Networks for Rational Reasoning. CoRR (2024)
Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi
Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR (2024)
Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. WWW (2024)
Andrei Margeloiu, Adrián Bazaga, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting. CoRR (2024)
Ferran Hernandez Caralt, Guillermo Bernárdez Gil, Iulia Duta, Pietro Liò, Eduard Alarcón-Cot
Joint Diffusion Processes as an Inductive Bias in Sheaf Neural Networks. CoRR (2024)
Keke Huang, Yu Guang Wang, Ming Li, Pietro Liò
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing. CoRR (2024)
Max Zhu, Adrián Bazaga, Pietro Liò
FLUID-LLM: Learning Computational Fluid Dynamics with Spatiotemporal-aware Large Language Models. CoRR (2024)
Elisa Gómez de Lope, Saurabh Deshpande, Ramón Viñas Torné, Pietro Liò, Enrico Glaab, Stéphane P. A. Bordas
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease. CoRR (2024)
James Rowbottom, Georg Maierhofer, Teo Deveney, Katharina Schratz, Pietro Liò, Carola-Bibiane Schönlieb, Chris J. Budd
G-Adaptive mesh refinement - leveraging graph neural networks and differentiable finite element solvers. CoRR (2024)
Miruna T. Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Liò
SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways. CoRR (2024)
Samitha Somathilaka, Adrian Ratwatte, Sasitharan Balasubramaniam, Mehmet Can Vuran, Witawas Srisa-an, Pietro Liò
Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity. CoRR (2024)
Paulina Kulyte, Francisco Vargas, Simon Valentin Mathis, Yu Guang Wang, José Miguel Hernández-Lobato, Pietro Liò
Improving Antibody Design with Force-Guided Sampling in Diffusion Models. CoRR (2024)
Rishabh Anand, Chaitanya K. Joshi, Alex Morehead, Arian R. Jamasb, Charles Harris, Simon V. Mathis, Kieran Didi, Bryan Hooi, Pietro Liò
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design. CoRR (2024)
Riccardo Ali, Paulina Kulyte, Haitz Sáez de Ocáriz Borde, Pietro Liò
Metric Learning for Clifford Group Equivariant Neural Networks. CoRR (2024)
Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò
Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs. ICPRAM (2024)
Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini, Pietro Liò
xAI-Drop: Don't Use What You Cannot Explain. CoRR (2024)
Yuanqi Du, Arian R. Jamasb, Jeff Guo, Tianfan Fu, Charles Harris, Yingheng Wang, Chenru Duan, Pietro Liò, Philippe Schwaller, Tom L. Blundell
Machine learning-aided generative molecular design. Nat. Mac. Intell. 6 (6) (2024)
Veljko Kovac, Erik J. Bekkers, Pietro Liò, Floor Eijkelboom
E(n) Equivariant Message Passing Cellular Networks. CoRR (2024)
Keke Huang, Wencai Cao, Hoang Ta, Xiaokui Xiao, Pietro Liò
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach. CoRR (2024)
Till Siebenmorgen, Filipe Menezes, Sabrina Benassou, Erinc Merdivan, Kieran Didi, André Santos Dias Mourão, Radoslaw Kitel, Pietro Liò, Stefan Kesselheim, Marie Piraud, Fabian J. Theis, Michael Sattler, Grzegorz M. Popowicz
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discovery. Nat. Comput. Sci. 4 (5) (2024)
Adrián Bazaga, Pietro Liò, Gos Micklem
Language Model Knowledge Distillation for Efficient Question Answering in Spanish. CoRR (2023)
Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Liò
GCI: A (G)raph (C)oncept (I)nterpretation Framework. CoRR (2023)
Yuan Lu, Haitz Sáez de Ocáriz Borde, Pietro Liò
AMES: A Differentiable Embedding Space Selection Framework for Latent Graph Inference. CoRR (2023)
Rishabh Jain, Petar Velickovic, Pietro Liò
Neural Priority Queues for Graph Neural Networks. CoRR (2023)
Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic
Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. CoRR (2023)
Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
Topological Network Traffic Compression. GNNet@CoNEXT (2023)
Francesco Bardozzo, Andrea Terlizzi, Pietro Liò, Roberto Tagliaferri
ElegansNet: a brief scientific report and initial experiments. CoRR (2023)
Xiaofeng Lu, Fan Yang, Luwen Zou, Pietro Liò, Pan Hui
An LTE Authentication and Key Agreement Protocol Based on the ECC Self-Certified Public Key. IEEE/ACM Trans. Netw. 31 (3) (2023)
Veronica Lachi, Giovanna Maria Dimitri, Alessandro Di Stefano, Pietro Liò, Monica Bianchini, Chiara Mocenni
Impact of the Covid 19 outbreaks on the italian twitter vaccination debat: a network based analysis. CoRR (2023)
Junwei Yang, Pietro Liò
Unsupervised Adaptive Implicit Neural Representation Learning for Scan-Specific MRI Reconstruction. CoRR (2023)
Guillermo Bernárdez, Lev Telyatnikov, Eduard Alarcón, Albert Cabellos-Aparicio, Pere Barlet-Ros, Pietro Liò
Topological Graph Signal Compression. CoRR (2023)
Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Liò, Elena Di Lavore
Categorical Foundations of Explainable AI: A Unifying Formalism of Structures and Semantics. CoRR (2023)
Filip Svoboda, Gianluca Mittone, Nicholas D. Lane, Pietro Liò
A Federated Learning Benchmark for Drug-Target Interaction. CoRR (2023)
Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong
Graph Classification Gaussian Processes via Spectral Features. CoRR (2023)
Kamil Bujel, Yonatan Gideoni, Chaitanya K. Joshi, Pietro Liò
Group Invariant Global Pooling. CoRR (2023)
Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò
CIN++: Enhancing Topological Message Passing. CoRR (2023)
King Fai Yeh, Paris D. L. Flood, William Redman, Pietro Liò
Learning Linear Embeddings for Non-Linear Network Dynamics with Koopman Message Passing. CoRR (2023)
Chaitanya K. Joshi, Arian R. Jamasb, Ramón Viñas, Charles Harris, Simon V. Mathis, Pietro Liò
Multi-State RNA Design with Geometric Multi-Graph Neural Networks. CoRR (2023)
Felix L. Opolka, Yin-Cong Zhi, Pietro Liò, Xiaowen Dong
Graph classification Gaussian processes via spectral features. UAI (2023)
Adrián Bazaga, Pietro Liò, Gos Micklem
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation. CoRR (2023)
Lucie Charlotte Magister, Pietro Barbiero, Dmitry Kazhdan, Federico Siciliano, Gabriele Ciravegna, Fabrizio Silvestri, Mateja Jamnik, Pietro Liò
Concept Distillation in Graph Neural Networks. xAI (3) (2023)
Richard Bergna, Felix L. Opolka, Pietro Liò, José Miguel Hernández-Lobato
Graph Neural Stochastic Differential Equations. CoRR (2023)
Jin Zhu, Guang Yang, Pietro Liò
A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning. CoRR (2023)
Giovanna Maria Dimitri, Simeon E. Spasov, Andrea Duggento, Luca Passamonti, Pietro Liò, Nicola Toschi
Multimodal and multicontrast image fusion via deep generative models. CoRR (2023)
Antonio Purificato, Giulia Cassarà, Pietro Liò, Fabrizio Silvestri
Sheaf Neural Networks for Graph-based Recommender Systems. CoRR (2023)
Junwei Yang, Pietro Liò
Dual-Domain Multi-Contrast MRI Reconstruction with Synthesis-based Fusion Network. CoRR (2023)
Han Xuanyuan, Pietro Barbiero, Dobrik Georgiev, Lucie Charlotte Magister, Pietro Liò
Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. AAAI (2023)
David Buterez, Jon Paul Janet, Steven J. Kiddle, Pietro Liò
MF-PCBA: Multifidelity High-Throughput Screening Benchmarks for Drug Discovery and Machine Learning. J. Chem. Inf. Model. 63 (9) (2023)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. Artif. Intell. 314 (2023)
Md. Shofiqul Islam, Khondokar Fida Hasan, Sunjida Sultana, Shahadat Uddin, Pietro Liò, Julian M. W. Quinn, Mohammad Ali Moni
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN. CoRR (2023)
Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR (2023)
Zehui Li, Xiangyu Zhao, Mingzhu Shen, Guy-Bart Stan, Pietro Liò, Yiren Zhao
Hybrid Graph: A Unified Graph Representation with Datasets and Benchmarks for Complex Graphs. CoRR (2023)
Andrei Margeloiu, Nikola Simidjievski, Pietro Liò, Mateja Jamnik
Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data. AAAI (2023)
Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Comput. Methods Programs Biomed. 241 (2023)
Gabriele Ciravegna, Pietro Barbiero, Francesco Giannini, Marco Gori, Pietro Liò, Marco Maggini, Stefano Melacci
Logic Explained Networks. NeSy (2023)
Gabriele Dominici, Pietro Barbiero, Lucie Charlotte Magister, Pietro Liò, Nikola Simidjievski
SHARCS: Shared Concept Space for Explainable Multimodal Learning. CoRR (2023)
Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev, Phillip Lin, Bianca Dumitrascu, Eric R. Gamazon, Pietro Liò
Hypergraph factorization for multi-tissue gene expression imputation. Nat. Mac. Intell. 5 (7) (2023)
Andrija Petrovic, Mladen Nikolic, Ugljesa Bugaric, Boris Delibasic, Pietro Liò
Controlling highway toll stations using deep learning, queuing theory, and differential evolution. Eng. Appl. Artif. Intell. 119 (2023)
Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò
Neural Embeddings for Protein Graphs. CoRR (2023)
Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. CoRR (2023)
Keke Huang, Pietro Liò
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks. CoRR (2023)
Emma L. Ambag, Giulia Capitoli, Vincenzo L' Imperio, Michele Provenzano, Marco S. Nobile, Pietro Liò
Assisting clinical practice with fuzzy probabilistic decision trees. CoRR (2023)
Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Liò, Frédéric Precioso, Mateja Jamnik, Giuseppe Marra
Interpretable Neural-Symbolic Concept Reasoning. NeSy (2023)
Alexander Campbell, Simeon Spasov, Nicola Toschi, Pietro Liò
DBGDGM: Dynamic Brain Graph Deep Generative Model. CoRR (2023)
Georg Wölflein, Lucie Charlotte Magister, Pietro Liò, David J. Harrison, Ognjen Arandjelovic
Deep Multiple Instance Learning with Distance-Aware Self-Attention. CoRR (2023)
Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri
Renormalized Graph Neural Networks. CoRR (2023)
Alessandro Farace di Villaforesta, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò
Digital Histopathology with Graph Neural Networks: Concepts and Explanations for Clinicians. CoRR (2023)
Donato Crisostomi, Irene Cannistraci, Luca Moschella, Pietro Barbiero, Marco Ciccone, Pietro Liò, Emanuele Rodolà
From Charts to Atlas: Merging Latent Spaces into One. CoRR (2023)
Lihao Liu, Yanqi Cheng, Zhongying Deng, Shujun Wang, Dongdong Chen, Xiaowei Hu, Pietro Liò, Carola-Bibiane Schönlieb, Angelica E. Avilés-Rivero
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios. CoRR (2023)
Isaac Brant, Alexander Norcliffe, Pietro Liò
Fourier Neural Differential Equations for learning Quantum Field Theories. CoRR (2023)
Xiandong Zou, Xiangyu Zhao, Pietro Liò, Yiren Zhao
Will More Expressive Graph Neural Networks do Better on Generative Tasks? CoRR (2023)
Xiuli Bi, Shizhan Tang, Zonglin Yang, Xin Deng, Bin Xiao, Pietro Liò
MMCTNet: Multi-Modal Cony-Transformer Network for Predicting Good and Poor Outcomes in Cardiac Arrest Patients. CinC (2023)
Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts. CoRR (2023)
Adrián Bazaga, Pietro Liò, Gos Micklem
Unsupervised Fact Verification by Language Model Distillation. CoRR (2023)
Chaitanya K. Joshi, Cristian Bodnar, Simon V. Mathis, Taco Cohen, Pietro Liò
On the Expressive Power of Geometric Graph Neural Networks. CoRR (2023)
Junwei Yang, Xiao-Xin Li, Feihong Liu, Dong Nie, Pietro Liò, Haikun Qi, Dinggang Shen
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI Contrast. IEEE Trans. Medical Imaging 42 (5) (2023)
Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
Latent Graph Inference using Product Manifolds. ICLR (2023)
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR (2023)
Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Pietro Liò, Yiren Zhao
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration. CoRR (2023)
Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
SCOTCH and SODA: A Transformer Video Shadow Detection Framework. CVPR (2023)
Iulia Duta, Giulia Cassarà, Fabrizio Silvestri, Pietro Liò
Sheaf Hypergraph Networks. CoRR (2023)
Lihao Liu, Yanqi Cheng, Dongdong Chen, Jing He, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
Traffic Video Object Detection using Motion Prior. CoRR (2023)
Zhenda Shen, Yanqi Cheng, Raymond H. Chan, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I. Avilés-Rivero
TRIDENT: The Nonlinear Trilogy for Implicit Neural Representations. CoRR (2023)
Dobrik Georgiev, Danilo Numeroso, Davide Bacciu, Pietro Liò
Neural Algorithmic Reasoning for Combinatorial Optimisation. CoRR (2023)
Kai Yi, Bingxin Zhou, Yiqing Shen, Pietro Liò, Yu Guang Wang
Graph Denoising Diffusion for Inverse Protein Folding. CoRR (2023)
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR (2023)
Kai Yi, Jialin Chen, Yu Guang Wang, Bingxin Zhou, Pietro Liò, Yanan Fan, Jan Hamann
Approximate Equivariance SO(3) Needlet Convolution. CoRR (2022)
Ramón Viñas, Helena Andrés-Terré, Pietro Liò, Kevin Bryson
Adversarial generation of gene expression data. Bioinform. 38 (3) (2022)
Haitz Sáez de Ocáriz Borde, Anees Kazi, Federico Barbero, Pietro Liò
Latent Graph Inference using Product Manifolds. CoRR (2022)
Charles N. Christensen, Meng Lu, Edward N. Ward, Pietro Liò, Clemens F. Kaminski
Spatio-temporal Vision Transformer for Super-resolution Microscopy. CoRR (2022)
David Buterez, Jon Paul Janet, Steven J. Kiddle, Dino Oglic, Pietro Liò
Graph Neural Networks with Adaptive Readouts. NeurIPS (2022)
Yin-Cong Zhi, Felix L. Opolka, Yin Cheng Ng, Pietro Liò, Xiaowen Dong
Transductive Kernels for Gaussian Processes on Graphs. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pietro Liò