113 citations · 225 across the 11 of their papers we have counts for
11 papers
MPXGAT: An Attention based Deep Learning Model for Multiplex Graphs Embedding
Marco Bongiovanni, Luca Gallo, Roberto Grasso +1
Graph representation learning has rapidly emerged as a pivotal field of study. Despite its growing popularity, the majority of research has been confined to embedding single-layer…
A pair-based approximation for simplicial contagion
Federico Malizia, Luca Gallo, Mattia Frasca +3
Higher-order interactions play an important role in complex contagion processes. Mean-field approximations have been used to characterize the onset of spreading in the presence of…
Complex contagion in social systems with distrust
Jean-François de Kemmeter, Luca Gallo, Fabrizio Boncoraglio +2
Social systems are characterized by the presence of group interactions and by the existence of both trust and distrust relations. Although there is a wide literature on signed soci…
Hypergraphx: a library for higher-order network analysis
Quintino Francesco Lotito, Martina Contisciani, Caterina De Bacco +6
From social to biological systems, many real-world systems are characterized by higher-order, non-dyadic interactions. Such systems are conveniently described by hypergraphs, where…
Higher-order correlations reveal complex memory in temporal hypergraphs
Luca Gallo, Lucas Lacasa, Vito Latora +1
Many real-world complex systems are characterized by interactions in groups that change in time. Current temporal network approaches, however, are unable to describe group dynamics…
Turing patterns in systems with high-order interactions
Riccardo Muolo, Luca Gallo, Vito Latora +2
Turing theory of pattern formation is among the most popular theoretical means to account for the variety of spatio-temporal structures observed in Nature and, for this reason, fin…
MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction
Luca Gallo, Vito Latora, Alfredo Pulvirenti
Research on graph representation learning has received great attention in recent years. However, most of the studies so far have focused on the embedding of single-layer graphs. Th…
Synchronization induced by directed higher-order interactions
Luca Gallo, Riccardo Muolo, Lucia Valentina Gambuzza +3
Non-reciprocal interactions play a crucial role in many social and biological complex systems. While directionality has been thoroughly accounted for in networks with pairwise inte…
Individual- and pair-based models of epidemic spreading: master equations and analysis of their forecasting capabilities
Federico Malizia, Luca Gallo, Mattia Frasca +2
Mathematical modeling of disease spreading plays a crucial role in understanding, controlling and preventing epidemic outbreaks. In a microscopic description of the propagation of…
Lack of practical identifiability may hamper reliable predictions in COVID-19 epidemic models
Luca Gallo, Mattia Frasca, Vito Latora +1
Compartmental models are widely adopted to describe and predict the spreading of infectious diseases. The unknown parameters of such models need to be estimated from the data. Furt…
A Multi-agent approach for simulations of micro-biological systems
Daniele Proverbio, Luca Gallo, Barbara Passalacqua +2
Using a Multi-agent systems paradigm, the present project develops, validates and exploits a computational that simulates micro-biological complex systems, namel…