Inferring the topology of a network from network dynamics is a significant problem with both
theoretical research significance and practical value. This paper considers how to …

Complex networks have been an effective paradigm to represent a variety of complex
systems, such as social networks, collaborative networks, and biomolecular networks, where …

Inferring the topology of a network from observable dynamics is a key topic in the research of
complex network. With the observation error considered, the topology inferring is formulated …

In response to the challenges inherent in conventional rotorcraft UAVs, a reconfigurable
flight array (RFA) has been introduced, which is designed with the ability to rapidly assemble …

This study focuses on a topology identification problem of weighted networks with different
connection strength, where binary time series generated by propagation dynamics are …

В данном исследовании разработан подход формирования графа системы,
обладающего заданными передаточными свойствами, не утрачивающего …

Fault diagnosis technology is an important means to monitor the safe operation of aviation
engine, and has become a research hotspot in aviation power technology field. The …

Vector embedding over a real network is considered as feature learning of nodes of the
network which is utilized in many downstream machine learning applications such as link …

Learning meaningful vector representations of nodes of a network has been a subject of
intense study in the past few years, with various objectives such as node or link labeling …

The credit industry's continuing expansion depends on the application of modern
information technology to lower the risk of credit default. Traditional credit default prediction …