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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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2020
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/36c14220733f4a9a88d0654312455cd5 |
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