1 citations · 1 across the 4 of their papers we have counts for
4 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…
A City-Scale Dataset of Traffic Flows, Travel Times, and Urban Context
Riccardo Cappi, Massimiliano Luca, Pietro Fontolan +3
We present a multi-source traffic dataset derived from Automatic Vehicle Identification (AVI) recordings in Padua, Italy, spanning from February 2026 to August 2026. The dataset co…
An openly available OpenStreetMap-to-Foursquare category benchmark for points of interest
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…
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…