2 citations · 3 across the 6 of their papers we have counts for
6 papers
Graph Hierarchical Recurrence for Long-Range Generalization
Stefano Carotti, Marco Pacini, Alessio Gravina +3
Graph Neural Networks and Graph Transformers have become central to graph learning, combining expressive representation learning with sample-efficient inductive biases. Yet they re…
Unifying points of interest taxonomies: mapping OpenStreetMap tags to the Foursquare category system
Lilou Soulas, Lorenzo Lucchini, Maurizio Napolitano +5
The heterogeneity of Point of Interest (POI) taxonomies is a persistent challenge for the integration of urban datasets and the development of location-based services. OpenStreetMa…
Latent geometry emerging from network-driven processes
Andrea Filippo Beretta, Davide Zanchetta, Sebastiano Bontorin +1
Understanding network functionality requires integrating structure and dynamics, and emergent latent geometry induced by network-driven processes captures the low-dimensional space…
Mixing Individual and Collective Behaviours to Predict Out-of-Routine Mobility
Sebastiano Bontorin, Simone Centellegher, Riccardo Gallotti +3
Predicting human displacements is crucial for addressing various societal challenges, including urban design, traffic congestion, epidemic management, and migration dynamics. While…
Emergence of complex network topologies from flow-weighted optimization of network efficiency
Sebastiano Bontorin, Giulia Cencetti, Riccardo Gallotti +2
Transportation and distribution networks are a class of spatial networks that have been of interest in recent years. These networks are often characterized by the presence of compl…
Multiscale statistical physics of the Human-SARS-CoV-2 interactome
Arsham Ghavasieh, Sebastiano Bontorin, Oriol Artime +1
Protein-protein interaction (PPI) networks have been used to investigate the influence of SARS-CoV-2 viral proteins on the function of human cells, laying out a deeper understandin…