activity
20232026
most citedAn embedding-based distance for temporal graphs

8 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2026

A temporal graph dissimilarity measure capturing epidemic spreading behavior

Salvatore Freni, Lorenzo Dall'Amico, Francesca Pistilli +3

Comparing temporal networks is a challenging problem in network analysis. Commonly adopted methods compare structural properties of temporal graphs and can be highly sensitive to t…

physics.soc-ph2025

Modeling memory in time-respecting paths on temporal networks

Silvia Guerrini, Ciro Cattuto, Lorenzo Dall'Amico

Human close-range proximity interactions are the key determinant for spreading processes like knowledge diffusion, norm adoption, and infectious disease transmission. These dynamic…

physics.soc-ph2025

Relationship between household attributes and contact patterns in urban and rural South Africa

Kausutua Tjikundi, Jackie Kleynhans, Stefano Tempia +4

Households play a crucial role in the propagation of infectious diseases due to the frequent and prolonged interactions that typically occur between their members. Recent studies h…

cs.SI2024★ 8 cited

An embedding-based distance for temporal graphs

Lorenzo Dall'Amico, Alain Barrat, Ciro Cattuto

Temporal graphs are commonly used to represent time-resolved relations between entities in many natural and artificial systems. Many techniques were devised to investigate the evol…

cs.LG2023

Learning distributed representations with efficient SoftMax normalization

Lorenzo Dall'Amico, Enrico Maria Belliardo

Learning distributed representations, or embeddings, that encode the relational similarity patterns among objects is a relevant task in machine learning. A popular method to learn…