Signal propagation in complex networks
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
Two-stream graph convolutional network-incorporated latent feature analysis
F Bi, T He, Y Xie, X Luo - IEEE Transactions on Services …, 2023 - ieeexplore.ieee.org
Historical Quality-of-Service (QoS) data describing existing user-service invocations are vital
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …
How to Isolate Non-Public Networks in B5G: A Review
Featured Application B5G non-public networks will serve various vertical industries, which
are developing rapidly in the era of the Internet of Things. It is forecasted that eight key …
are developing rapidly in the era of the Internet of Things. It is forecasted that eight key …
Effective model integration algorithm for improving link and sign prediction in complex networks
Link and sign prediction in complex networks bring great help to decision-making and
recommender systems, such as in predicting potential relationships or relative status levels …
recommender systems, such as in predicting potential relationships or relative status levels …
Self-attention enhanced auto-encoder for link weight prediction with graph compression
Predicting unobservable or missing weights over links on various real-world networks is of
fundamental scientific significance in disparate disciplines like sociology, biology, and …
fundamental scientific significance in disparate disciplines like sociology, biology, and …
Network structural perturbation against interlayer link prediction
Interlayer link prediction aims at matching the same entities across different layers of the
multiplex network. Existing studies attempt to predict more accurately, efficiently, or …
multiplex network. Existing studies attempt to predict more accurately, efficiently, or …
Line graph neural networks for link weight prediction
In real-world networks, predicting the weight (strength) of links is as crucial as predicting the
existence of the links themselves. Previous studies have primarily used shallow graph …
existence of the links themselves. Previous studies have primarily used shallow graph …
A Node-Collaboration-Informed Graph Convolutional Network for Highly Accurate Representation to Undirected Weighted Graph
Y Yuan, Y Wang, X Luo - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
An undirected weighted graph (UWG) is regularly adopted to portray the interactions among
a solo set of nodes from big data-connected applications such as the interactive confidence …
a solo set of nodes from big data-connected applications such as the interactive confidence …
Method of network intrusion discovery based on convolutional long-short term memory network and implementation in VSS
Z Fan, Z Cao - IEEE Access, 2021 - ieeexplore.ieee.org
Network intrusion discovery aims to detect the network attacks and abnormal network
intrusion efficiently, that is an important protection implement in the field of cyber security …
intrusion efficiently, that is an important protection implement in the field of cyber security …
Improved Message Mechanism-Based Cross-Domain Security Control Model in Mobile Terminals
Z Cao, Z Fan, B Chen, Z Cheng, S Xu… - International Journal of …, 2024 - igi-global.com
Dual-domain terminal with two built-in independent operating systems-Life Domain and
Work Domain, provides convenience for daily use and mobile office. However, the security …
Work Domain, provides convenience for daily use and mobile office. However, the security …