3 papers
cs.LG2026
Differentiable Lifting for Topological Neural Networks
Jorge Luiz Franco, Gabriel Duarte, Alexander Nikitin +3
Topological neural networks (TNNs) enable leveraging high-order structures on graphs (e.g., cycles and cliques) to boost the expressive power of message-passing neural networks. In…
cs.SI2026
SVD Incidence Centrality: A Unified Spectral Framework for Node and Edge Analysis in Directed Networks and Hypergraphs
Jorge Luiz Franco, Thomas Peron, Alcebiades Dal Col +4
Identifying influential nodes and edges in directed networks remains a fundamental challenge across domains from social influence to biological regulation. Most existing centrality…
cs.LG2025
Graph machine learning for flight delay prediction due to holding manouver
Jorge L. Franco, Manoel V. Machado Neto, Filipe A. N. Verri +1
Flight delays due to holding maneuvers are a critical and costly phenomenon in aviation, driven by the need to manage air traffic congestion and ensure safety. Holding maneuvers oc…