This paper addresses the problem of the input design of large-scale complex networks. Two
types of network components, redundant inaccessible strongly connected component …

Deep metric learning aims to construct an embedding space where samples belonging to
the same class are closely grouped together, while samples from different classes are …

The Low Earth Orbit (LEO) satellite network has emerged as a crucial infrastructure for
global content delivery service, due to its global coverage and low latency. However, the …

This paper studies the target controllability of multi-layer complex networked systems, in
which the nodes are high-dimensional linear time invariant (LTI) dynamical systems, and the …

The design of transportation networks is generally performed on the basis of the division of a
metropolitan region into communities. With the combination of the scale, population density …

To fully characterize the evolution process of the topological structure of dynamic
communities, we propose a dynamic community detection based on Evolutionary DeepWalk …

This article is devoted to the study of modern methods for modeling the interests social
network users, as well as the development and implementation of our own method that …

ABSTRACT A novel technique Gaussian-Embedded Clustering-based Piecewise Linear
Convolutional Deep Belief Classifier (GEC-PLCDBC) is introduced for enhancing the …

On Twitter, a user can create multiple accounts and tweet to express emotions or talk about
something in the accounts. Tweets reflect the user's emotions and topics of interest …