The highly intricate inter-connectivity and ever expanding scale of modern power grids have
raised serious concerns on security and vulnerability of power grids. Much of the recent …

Graph neural networks (GNNs) have found successful applications in various graph-related
tasks. However, recent studies have shown that many GNNs are vulnerable to adversarial …

Network structure and its traffic capacity are closely related. A reasonable layout of the
network structure can bring a larger traffic capacity. In this paper, a high-contraction …

Research on heterogeneous combat networks (HCNs) has attracted considerable interest in
the military field since they can provide useful insights into the provision of decision-making …

In high-tech informative warfare, the combat system-of-systems which become increasingly
functional and complex can be abstracted as heterogeneous combat networks (HCNs). The …

The structure of the network has great impact on its traffic dynamics. Most of the real world
networks follow heterogeneous structure and exhibit scale-free feature. In scale-free …

With the increasing complexity and demand for transportation networks, effective routing
planning has attracted more and more attention. Different modes of transportation, such as …

针对机动微波接力网组网及优化需要, 提出一种基于双编码遗传算法(DMGA)
的机动微波接力网组网方法. 以网络价值最大化为优化目标, 综合考虑节点价值, 吸引系数 …

Monitoring the interaction behaviors of network traffic flows and detecting unwanted Internet
applications and anomalous flows have become more challenging, since many applications …

Cascading failure is an ubiquitous phenomenon in many types of complex networks, and it
has attracted significant concerns in the past decade. In this paper, we consider a generic …