A novel representation learning for dynamic graphs based on graph convolutional networks

C Gao, J Zhu, F Zhang, Z Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Graph representation learning has re-emerged as a fascinating research topic due to the
successful application of graph convolutional networks (GCNs) for graphs and inspires …

A stable community detection approach for complex network based on density peak clustering and label propagation

C Li, H Chen, T Li, X Yang - Applied Intelligence, 2022 - Springer
Dividing a network into communities has great benefits in understanding the characteristics
of the network. The label propagation algorithm (LPA) is a fast and convenient community …

A multi-model fusion based non-ferrous metal price forecasting

Q Liu, M Liu, H Zhou, F Yan - Resources Policy, 2022 - Elsevier
Non-ferrous metals play a significant role in social development. It is important for policy
makers and entrepreneurs to forecast non-ferrous metals price accurately. However, existing …

Influential node identification by aggregating local structure information

F Wang, Z Sun, Q Gan, A Fan, H Shi, H Hu - Physica A: Statistical …, 2022 - Elsevier
In complex networks, the identification of influential nodes is very important to study the
transmission and control of viruses, the location of key points of network attacks, the spread …

Community detection via network node vector label propagation

M Luo, Y Xu - Physica A: Statistical Mechanics and its Applications, 2022 - Elsevier
The discovery and analysis of community structure in complex networks is a hot topic in
recent years. A community detection method called NVP is proposed based on the node …

Multiplex network disintegration strategy inference based on deep network representation learning

C Zeng, L Lu, H Liu, J Chen, Z Zhou - Chaos: An Interdisciplinary …, 2022 - pubs.aip.org
Multiplex networks have attracted more and more attention because they can model the
coupling of network nodes between layers more accurately. The interaction of nodes …

[HTML][HTML] Percolation behaviors of partially edge-coupled interdependent networks

YL Gao, HW He, J Liu, SM Chen - Physics Letters A, 2022 - Elsevier
Most previous researches on interdependent networks are based on node-coupled
interdependency. Considering the mutual interaction between some edges among multi …

Fast community detection based on graph autoencoder reconstruction

C Qiu, Z Huang, W Xu, H Li - 2022 7th International …, 2022 - ieeexplore.ieee.org
With the rapid development of big data, how to efficiently and accurately discover tight
community structures in large-scale networks for knowledge discovery has attracted more …

Dual-mode data forwarding scheme based on interest tags for fog computing-based SIoVs

Z Xia, X Mao, K Gu, W Jia - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
Social Internet of vehicles (SIoVs) is a combination of vehicular ad-hoc networks (VANETs)
and mobile social networks (MSNs). Although social relationships between vehicle nodes …

意识扩散和SEIR 病毒的双层网络传播模型

宋玉蓉, 鲍裕霖, 李汝琦 - 系统仿真学报, 2022 - china-simulation.com
针对类似于新型冠状病毒(coronavirus disease 2019, COVID-19) 具有明显潜伏期特性的病毒,
为了解其传播特性, 做出相应预测和措施, 提出了一种考虑时变因素的双层网络传播模型 …