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pietro.lio@uniroma1.it
Pietro Lio
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
pietro.lio@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Global Explainability of GNNs via Logic Combination of Learned Concepts
11th International Conference on Learning Representations, ICLR 2023
2023
Topological Network Traffic Compression
GNNet 2023 - Proceedings of the 2nd Graph Neural Networking Workshop 2023
2023
Interpretable Neural-Symbolic Concept Reasoning
ICML'23: Proceedings of the 40th International Conference on Machine Learning
2023
Bridging Equational Properties and Patterns on Graphs: an AI-Based Approach
Proceedings of Machine Learning Research
2023
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning
2023 IEEE International Conference on Big Data (BigData)
2023
SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
Proceedings of Machine Learning Research
2023
Latent Graph Inference using Product Manifolds
11th International Conference on Learning Representations, ICLR 2023
2023
SCOTCH and SODA: A Transformer Video Shadow Detection Framework
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2023
MMCTNet: Multi-Modal Cony-Transformer Network for Predicting Good and Poor Outcomes in Cardiac Arrest Patients
COMPUTING IN CARDIOLOGY
2023
On the Expressive Power of Geometric Graph Neural Networks
Proceedings of Machine Learning Research
2023
Graph Denoising Diffusion for Inverse Protein Folding
37th Conference on Neural Information Processing Systems (NeurIPS 2023)
2023
The Operon as a Conundrum of Gene Dynamics and Biochemical Constraints: What We Have Learned from Histidine Biosynthesis
GENES
2023
Computational logic for biomedicine and neurosciences
Symbolic Approaches to Modeling and Analysis of Biological Systems
2023
Learning logic explanations by neural networks
Compendium of Neurosymbolic Artificial Intelligence
2023
Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery
22nd IFAC World Congress Yokohama, Japan, July 9-14, 2023
2023
Navigating the development challenges in creating complex data systems
NATURE MACHINE INTELLIGENCE
2023
A pipeline to further enhance quality, integrity and reusability of the NCCID clinical data
SCIENTIFIC DATA
2023
CellVGAE: An unsupervised scRNA-seq analysis workflow with graph attention networks
BIOINFORMATICS
2022
Do We Need Anisotropic Graph Neural Networks?
ICLR 2022 - 10th International Conference on Learning Representations
2022
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides
COMPUTERS IN BIOLOGY AND MEDICINE
2022
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