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5GNN : extrapolating 5G measurements through GNNs:

, In: Proceedings of the 1st International Workshop on Graph Neural Networking,

Ye, Wei ; Hu, Xinyue ; Liu, Tian... - p. 36-41 , 2022

Link: https://dl.acm.org/doi/10.1145/3565473.3569186

RT 
T1 <cTitle>Proceedings of the 1st International Workshop on Graph Neural Networking</cTitle>: T1 <Title>5GNN				: extrapolating 5G measurements through GNNs</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3569186&Exemplar=1&LAN=DE
				
A1 Ye, Wei
A1 Hu, Xinyue
A1 Liu, Tian
A1 Sun, Ruoyu
A1 Li, Yanhua
A1 Zhang, Zhi-Li
PB ACM
YR 2022
K1 5G network measurement
K1 geospatial imputation
K1 graph convolutional network
K1 Networks
K1 Network performance evaluation
K1 Network measurement
K1 Network components
K1 Wireless access points, base stations and infrastructure
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Applied computing
K1 Physical sciences and engineering
K1 Earth and atmospheric sciences
K1 Machine learning algorithms
K1 Machine learning approaches
K1 Neural networks
K1 Learning settings
K1 Active learning settings
SP 36
OP 41
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3565473.3569186
DO https://dl.acm.org/doi/10.1145/3565473.3569186
SF ELIB - SuUB Bremen

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