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MixOT: Graph Representation Learning based on Mix-order Sam..:

, In: 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta),

He, Changqin ; Zhang, Haoyu ; Hu, Zhihui.. - p. 1817-1824 , 2022

Link: https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-Dig..

RT 
T1 <cTitle>2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta)</cTitle>: T1 <Title>MixOT: Graph Representation Learning based on Mix-order Sampling and Transport Aggregator for Social Networks</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10189571&Exemplar=1&LAN=DE
				
A1 He, Changqin
A1 Zhang, Haoyu
A1 Hu, Zhihui
A1 Kou, Guang
A1 Huang, Qiangjuan
YR 2022
K1 Representation learning
K1 Training
K1 Social networking (online)
K1 Convolution
K1 Benchmark testing
K1 Sampling methods
K1 Graph neural networks
K1 Node sampling
K1 Optimal transport
K1 Social networks
SP 1817
OP 1824
LK http://dx.doi.org/https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00264
DO https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00264
SF ELIB - SuUB Bremen

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