Gani: Global attacks on graph neural networks via imperceptible node injections

J Fang, H Wen, J Wu, Q Xuan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
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 …

Revealing structural and functional vulnerability of power grids to cascading failures

J Fang, J Wu, Z Zheng, KT Chi - IEEE Journal on Emerging and …, 2020 - ieeexplore.ieee.org
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 …

An efficient link closing strategy for improving traffic capacity on scale-free networks

J Zhang, J Ma, HJ Li - Physica A: Statistical Mechanics and its Applications, 2022 - Elsevier
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 …

A genetic algorithm-based methodology for analyzing the characteristics of high-operational-capability combat networks

K Chen, Y Lu, L Guo, X Zheng, J Wu, L Zhao - IEEE Access, 2022 - ieeexplore.ieee.org
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 …

A method to validate operational capability index model of heterogeneous combat networks based on characteristic topology analysis

K Chen, Y Lu, Q Liu, Y Jin, M Han - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Efficient edge rewiring strategies for enhancement in network capacity

S Kumari, A Saroha, A Singh - Physica A: Statistical Mechanics and its …, 2020 - Elsevier
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 …

Routing and congestion in multi-modal transportation networks

C Wang, Y Xia, HL Shen - International Journal of Modern Physics …, 2023 - World Scientific
With the increasing complexity and demand for transportation networks, effective routing
planning has attracted more and more attention. Different modes of transportation, such as …

Using complex network theory for temporal locality in network traffic flows

JF Wang, X He, SZ Si, H Zhao, C Zheng… - Physica A: Statistical …, 2019 - Elsevier
Monitoring the interaction behaviors of network traffic flows and detecting unwanted Internet
applications and anomalous flows have become more challenging, since many applications …

A decentralised self-healing approach for network topology maintenance

A Rodríguez, J Gómez, A Diaconescu - Autonomous Agents and Multi …, 2021 - Springer
In many distributed systems, from cloud to sensor networks, different configurations impact
system performance, while strongly depending on the network topology. Hence, topological …

Optimizing robustness of complex networks with heterogeneous node functions based on the memetic algorithm

T Wu, J Wu, W You - Physica A: Statistical Mechanics and its Applications, 2018 - Elsevier
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 …