Search Results for author: Pietro Lio'

Found 14 papers, 8 papers with code

Leveraging graph neural networks for supporting Automatic Triage of Patients

no code implementations11 Mar 2024 Annamaria Defilippo, Pierangelo Veltri, Pietro Lio', Pietro Hiram Guzzi

Triage methods are generally performed by human operator based on her own experience and information that are gathered from the patient management process.

Management

Improving embedding of graphs with missing data by soft manifolds

no code implementations29 Nov 2023 Andrea Marinoni, Pietro Lio', Alessandro Barp, Christian Jutten, Mark Girolami

The reliability of graph embeddings directly depends on how much the geometry of the continuous space matches the graph structure.

Graph Embedding

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology

1 code implementation6 Feb 2023 Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio', Michael Bronstein

Our analysis provides a unified framework to study different recent methods introduced to cope with over-squashing and serves as a justification for a class of methods that fall under graph rewiring.

Inductive Bias

Graph Representation Learning on Tissue-Specific Multi-Omics

no code implementations25 Jul 2021 Amine Amor, Pietro Lio', Vikash Singh, Ramon Viñas Torné, Helena Andres Terre

Overall, the combination of RNA-sequencing and gene methylation data leads to a link prediction accuracy of 71% on GGI networks.

Graph Embedding Graph Representation Learning +1

MIASSR: An Approach for Medical Image Arbitrary Scale Super-Resolution

1 code implementation22 May 2021 Jin Zhu, Chuan Tan, Junwei Yang, Guang Yang, Pietro Lio'

We also employ transfer learning to enable MIASSR to tackle SR tasks of new medical modalities, such as cardiac MR images (ACDC) and chest computed tomography images (COVID-CT).

Image Super-Resolution Meta-Learning +1

Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks

1 code implementation24 Apr 2020 Gevorg Yeghikyan, Felix L. Opolka, Mirco Nanni, Bruno Lepri, Pietro Lio'

A fundamental problem of interest to policy makers, urban planners, and other stakeholders involved in urban development projects is assessing the impact of planning and construction activities on mobility flows.

Social and Information Networks Physics and Society

Arbitrary Scale Super-Resolution for Brain MRI Images

1 code implementation5 Apr 2020 Chuan Tan, Jin Zhu, Pietro Lio'

A recent paper has proposed a novel meta-learning technique that uses a Weight Prediction Network to enable Super-Resolution on arbitrary scale factors using only a single neural network.

Brain Tumor Segmentation Image Super-Resolution +3

A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways

no code implementations13 Jan 2020 Francesco Bardozzo, Pietro Lio', Roberto Tagliaferri

In this work, a machine learning approach for identifying the multi-omics metabolic regulatory control circuits inside the pathways is described.

BIG-bench Machine Learning

Towards Probabilistic Generative Models Harnessing Graph Neural Networks for Disease-Gene Prediction

no code implementations12 Jul 2019 Vikash Singh, Pietro Lio'

Disease-gene prediction (DGP) refers to the computational challenge of predicting associations between genes and diseases.

Link Prediction

Fast Bayesian Non-Negative Matrix Factorisation and Tri-Factorisation

1 code implementation26 Oct 2016 Thomas Brouwer, Jes Frellsen, Pietro Lio'

We present a fast variational Bayesian algorithm for performing non-negative matrix factorisation and tri-factorisation.

Cannot find the paper you are looking for? You can Submit a new open access paper.