4 citations · 8 across the 3 of their papers we have counts for
5 papers
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…
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…
Bridging the gap to real-world for network intrusion detection systems with data-centric approach
Gustavo de Carvalho Bertoli, Lourenço Alves Pereira Junior, Filipe Alves Neto Verri +2
Most research using machine learning (ML) for network intrusion detection systems (NIDS) uses well-established datasets such as KDD-CUP99, NSL-KDD, UNSW-NB15, and CICIDS-2017. In t…
Network community detection via iterative edge removal in a flocking-like system
Filipe Alves Neto Verri, Roberto Alves Gueleri, Qiusheng Zheng +2
We present a network community-detection technique based on properties that emerge from a nature-inspired system of aligning particles. Initially, each vertex is assigned a random-…
Network Unfolding Map by Edge Dynamics Modeling
Filipe Alves Neto Verri, Paulo Roberto Urio, Liang Zhao
The emergence of collective dynamics in neural networks is a mechanism of the animal and human brain for information processing. In this paper, we develop a computational technique…