753 citations · 3k across the 55 of their papers we have counts for
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Embedding and trajectories of temporal networks
Chanon Thongprayoon, Lorenzo Livi, Naoki Masuda
Temporal network data are increasingly available in various domains, and often represent highly complex systems with intricate structural and temporal evolutions. Due to the diffic…
Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning
Sajjad Heydari, Stefano Raniolo, Lorenzo Livi +1
Predicting structural and energetic properties of a molecular system is one of the fundamental tasks in molecular simulations, and it has use cases in chemistry, biology, and medic…
Message Passing Neural Networks for Hypergraphs
Sajjad Heydari, Lorenzo Livi
Hypergraph representations are both more efficient and better suited to describe data characterized by relations between two or more objects. In this work, we present a new graph n…