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UA-HGAT: Uncertainty-aware Heterogeneous Graph Attention Ne..:

, In: 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics),

Kong, DeYan ; Ji, ZhenYan ; Sang, Yanjuan.. - p. 495-500 , 2022

Link: https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartD..

RT 
T1 <cTitle>2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, Physical & Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)</cTitle>: T1 <Title>UA-HGAT: Uncertainty-aware Heterogeneous Graph Attention Network for Short Text Classification</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9903103&Exemplar=1&LAN=DE
				
A1 Kong, DeYan
A1 Ji, ZhenYan
A1 Sang, Yanjuan
A1 Dong, Wei
A1 Yang, Yanyan
YR 2022
K1 Training
K1 Social computing
K1 Sentiment analysis
K1 Computational modeling
K1 Text categorization
K1 Training data
K1 Predictive models
K1 text classification
K1 uncertainty-aware
K1 knowledge base
K1 semi-supervised
SP 495
OP 500
LK http://dx.doi.org/https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00101
DO https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00101
SF ELIB - SuUB Bremen

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