Antonio G. Marques

A new method enhances blind deconvolution in graph signals despite imperfect information.

A method to predict missing information in graph nodes using local structures.

Using advanced models to predict and manage antimicrobial resistance in healthcare settings.

A new approach to understanding graph structures from node signals.

A new algorithm addresses challenges in bilevel optimization with coupled constraints.

A new approach predicts multidrug resistance risk in ICU patients using patient data.

A look at the D-PGPD algorithm for decision-making in continuous spaces.

A method for tracking evolving connections in networks for better decision-making.

AAGCN improves how GNNs learn from complex data structures.

A novel approach to understanding networks despite missing information.

XST-GCNN helps predict multidrug resistance in ICU patients using advanced data analysis.

Learn how dual graph approaches enhance data analysis and predictions.

Learn how low-rank tensors streamline predictions in complex systems.

Researchers enhance GNNs to improve predictions in complex data relationships.