no code implementations • 4 Dec 2020 • R. J. Jesus, M. L. Antunes, R. A. da Costa, S. N. Dorogovtsev, J. F. F. Mendes, R. L. Aguiar
We compare the evolution of the distribution function of this deviation with the evolution of the loss during training.
no code implementations • 3 Nov 2020 • G. J. Baxter, R. A. da Costa, S. N. Dorogovtsev, J. F. F. Mendes
We describe a generalisation of percolation to multilayer networks: weak multiplex percolation.
Disordered Systems and Neural Networks
no code implementations • 7 Jun 2001 • S. N. Dorogovtsev, J. F. F. Mendes
We consider the topological and structural properties of evolving networks, and percolation in these networks.
Statistical Mechanics q-bio
1 code implementation • 28 Jan 2000 • S. N. Dorogovtsev, J. F. F. Mendes
When $\alpha$ increases from $-\infty$ to 0, the exponent $\gamma$ of the distribution of connectivities ($P(k) \propto k^{-\gamma}$ for large $k$) grows from 2 to the value for the network without aging, i. e. to 3 for the Barab\'{a}si-Albert's model.
cond-mat
