3 papers
cs.LG2026
Graph Hierarchical Recurrence for Long-Range Generalization
Stefano Carotti, Marco Pacini, Alessio Gravina +3
Graph Neural Networks (GNNs) and Graph Transformers (GTs) are now a fundamental paradigm for graph learning, combining the representation-learning capabilities of deep models with…
physics.soc-ph2026
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 April 2026. The dataset com…
cs.SI2025
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…