Graph neural networks (GNNs) are now the mainstream method for mining graph-structured
data and learning low-dimensional node-and graph-level embeddings to serve downstream …

Complex systems are characterized by emergent patterns created by the nontrivial interplay
between dynamical processes and the networks of interactions on which these processes …

Identifying the transmission source based on network topology is of great significance for
timely blocking migration from epidemic areas. To date, several sensor-based works have …

Network correlation dimension governs the distribution of network distance in terms of a
power-law model and profoundly impacts both structural properties and dynamical …

Continuous-state network spreading models provide critical numerical and analytic insights
into transmission processes in epidemiology, rumor propagation, knowledge dissemination …

Deng's entropy is a measure used to determine the volume fractal dimension of a mass
function. It has been employed in pattern recognition and conflict management applications …

Real systems are characterized by complex patterns of interactions between their units, by
dynamical processes on them, and by the interplay of the two. It is well known that particular …

This study explores the connection between the fractal dimensions of time series
representing sentiments regarding economic news and the fractal dimensions of correlation …

The most common gram-negative, Escherichia coli, and gram-positive bacteria, Bacillus
spp., have evolved different mechanisms that have caused the emergence of multi-drug …

Simple Summary The fractional (q, q′)-information dimension for complex networks is
introduce, and a dual version of the (q, q′)-entropy, called (q, q′)-extropy, is proposed …