Adversarial Attention-Based Variational Graph Autoencoder

Autoencoders have been successfully used for graph embedding, and many variants have been proven to effectively express graph data and conduct graph analysis in low-dimensional space. However, previous methods ignore the structure and properties of the reconstructed graph, or they do not consider th...

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Vydáno v:	IEEE access Ročník 8; s. 152637 - 152645
Hlavní autoři:	Weng, Ziqiang, Zhang, Weiyu, Dou, Wei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	adversarial mechanism Attention layers Coders Convolution Correlation Dimensional analysis Embedding Image reconstruction Matrix converters Matrix decomposition Neural networks Training variational graph autoencoder
ISSN:	2169-3536, 2169-3536
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