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Robust Attribute and Structure Preserving Graph Embedding
Graph embedding methods are useful for a wide range of graph analysis tasks including link prediction and node classification. Most graph embedding methods learn only the topological structure of graphs. Nevertheless, it has been shown that the incorporation of node attributes is beneficial in impro...
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| Veröffentlicht in: | Advances in Knowledge Discovery and Data Mining |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7206273/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47436-2_45 |
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