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DGE-GSIM: A multi-task dual graph embedding learning for gr..:
, In:
2022 The 6th International Conference on Machine Learning and Soft Computing
,
Tan, Wenhui
;
Cao, Peng
;
Jin, Zhiyong
... - p. 39-47 , 2022
Link:
https://dl.acm.org/doi/10.1145/3523150.3523157
RT T1 <cTitle>2022 The 6th International Conference on Machine Learning and Soft Computing</cTitle>: T1 <Title>DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3523157&Exemplar=1&LAN=DE A1 Tan, Wenhui A1 Cao, Peng A1 Jin, Zhiyong A1 Luo, Futao A1 Wen, Guangqi A1 Li, Weiping PB ACM YR 2022 K1 Attention K1 Graph convolution networks K1 Graph similarity K1 Multi-task learning K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 39 OP 47 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3523150.3523157 DO https://dl.acm.org/doi/10.1145/3523150.3523157 SF ELIB - SuUB Bremen
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