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Principled approach to the selection of the embedding dimension of networks
Network embedding is a general-purpose machine learning technique that encodes network structure in vector spaces with tunable dimension. Choosing an appropriate embedding dimension – small enough to be efficient and large enough to be effective – is challenging but necessary to generate embeddings...
Tallennettuna:
| Julkaisussa: | Nat Commun |
|---|---|
| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group UK
2021
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8213704/ https://ncbi.nlm.nih.gov/pubmed/34145234 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-23795-5 |
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