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Bypassing Skip-Gram Negative Sampling: Dimension Regularization as a More Efficient Alternative for Graph Embeddings

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Liu, David, Seshadri, Arjun, Eliassi-Rad, Tina, Ugander, Johan
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Social and Information Networks
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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