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1 Ergebnisse
1
Determining the Optimal Number of GAT and GCN Layers for No..:
, In:
2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS)
,
Noor, Humaira
;
Islam, Niful
;
Hossain Mukta, Md. Saddam
... - p. 111-116 , 2023
Link:
https://doi.org/10.1109/ICSECS58457.2023.10256323
RT T1 <cTitle>2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS)</cTitle>: T1 <Title>Determining the Optimal Number of GAT and GCN Layers for Node Classification in Graph Neural Networks</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10256323&Exemplar=1&LAN=DE A1 Noor, Humaira A1 Islam, Niful A1 Hossain Mukta, Md. Saddam A1 Binti Kamarudin, Nur Shazwani A1 Khan Raiaan, Mohaimenul Azam A1 Azam, Sami YR 2023 K1 Measurement K1 Social networking (online) K1 Software algorithms K1 Complex networks K1 Graph neural networks K1 Classification algorithms K1 Convolutional neural networks K1 Node Classification K1 Graph K1 GAT K1 GCN K1 Neural Network SP 111 OP 116 LK http://dx.doi.org/https://doi.org/10.1109/ICSECS58457.2023.10256323 DO https://doi.org/10.1109/ICSECS58457.2023.10256323 SF ELIB - SuUB Bremen
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