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Co-eigenvector Graphs
Transition from time-variant to static networks: Timescale separation in N -intertwined mean-field approximation of susceptible-infectious-susceptible epidemics
Eigenvector components of symmetric, graph-related matrices
Inverse All Shortest Path Problem
Recovering Power Grids Using Strategies Based on Network Metrics and Greedy Algorithms
The role of epidemic spreading in seizure dynamics and epilepsy surgery
Topological properties and organizing principles of semantic networks
Linear Clustering Process on Networks
System Identification for Temporal Networks
Option Pricing Techniques: Using Neural Networks
Epidemic models characterize seizure propagation and the effects of epilepsy surgery in individualized brain networks based on MEG and invasive EEG recordings
Accuracy of predicting epidemic outbreaks
Predicting network dynamics without requiring the knowledge of the interaction graph
Predicting time-resolved electrophysiological brain networks from structural eigenmodes
Origin of the fractional derivative and fractional non-Markovian continuous-time processes
Moment closure approximations of susceptible-infected-susceptible epidemics on adaptive networks
Fréchet distribution in geometric graphs for drone networks
Comparing the accuracy of several network-based COVID-19 prediction algorithms
Analysis of continuous-time Markovian ϵ -SIS epidemics on networks
Two-Population SIR Model and Strategies to Reduce Mortality in Pandemics
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