no code implementations • 17 Apr 2024 • Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
For the novel metrics, in addition to the existing ones, we provide a mathematical formalisation for Fully Connected, AutoEncoder, Convolutional and Recurrent neural networks, of which we vary the activation functions and the number of hidden layers.
no code implementations • 26 Sep 2023 • Ye Sun, Athen Ma, Georg von Graevenitz, Vito Latora
UK science funding agencies significantly reduced numbers of grants and total grant funding in response to austerity, but surprisingly restrictions of science funding were relaxed after the 2015 general election.
no code implementations • 12 Sep 2022 • Emanuele La Malfa, Gabriele La Malfa, Claudio Caprioli, Giuseppe Nicosia, Vito Latora
Deep Neural Networks are, from a physical perspective, graphs whose `links` and `vertices` iteratively process data and solve tasks sub-optimally.
no code implementations • 24 Jun 2022 • Luca Gallo, Vito Latora, Alfredo Pulvirenti
Here we propose MultiSAGE, a generalization of the GraphSAGE algorithm that allows to embed multiplex networks.
1 code implementation • 6 Oct 2021 • Emanuele La Malfa, Gabriele La Malfa, Giuseppe Nicosia, Vito Latora
In this paper, we interpret Deep Neural Networks with Complex Network Theory.
no code implementations • 3 Feb 2021 • Daniele Petrone, Neofytos Rodosthenous, Vito Latora
The underlying dynamics is derived from the network of financial institutions linked by mutual exposures, and the negative rewards are associated to the banks' default.
no code implementations • 18 Jan 2021 • Bruno Ursino, Lucia Valentina Gambuzza, Vito Latora, Mattia Frasca
Our proposed method is based on the introduction of distributed controllers that modify the topology of the connections in order to generate outer symmetries in the nodes to be controlled.
Chaotic Dynamics
1 code implementation • 11 Dec 2020 • Iacopo Iacopini, Gabriele Di Bona, Enrico Ubaldi, Vittorio Loreto, Vito Latora
Innovation is the driving force of human progress.
Physics and Society Social and Information Networks
1 code implementation • 1 Oct 2020 • Yuanzhao Zhang, Vito Latora, Adilson E. Motter
When describing complex interconnected systems, one often has to go beyond the standard network description to account for generalized interactions.
Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks
no code implementations • 28 Jan 2020 • Unai Alvarez-Rodriguez, Federico Battiston, Guilherme Ferraz de Arruda, Yamir Moreno, Matjaz Perc, Vito Latora
We live and cooperate in networks.
Physics and Society Social and Information Networks Populations and Evolution
1 code implementation • 16 Oct 2018 • Iacopo Iacopini, Giovanni Petri, Alain Barrat, Vito Latora
Complex networks have been successfully used to describe the spreading of a disease in populations of interacting individuals.
Physics and Society
1 code implementation • 15 Jun 2016 • Nicoló Musmeci, Vincenzo Nicosia, Tomaso Aste, Tiziana Di Matteo, Vito Latora
We propose here a multiplex network approach to investigate simultaneously different types of dependency in complex data sets.
Physics and Society Computational Engineering, Finance, and Science Statistical Finance