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Bruss et al., 2019 - Google Patents

Graph embeddings at scale

Bruss et al., 2019

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Document ID
16254852426369133181
Author
Bruss C
Khazane A
Rider J
Serpe R
Nagrecha S
Hines K
Publication year
Publication venue
arXiv preprint arXiv:1907.01705

External Links

Snippet

Graph embedding is a popular algorithmic approach for creating vector representations for individual vertices in networks. Training these algorithms at scale is important for creating embeddings that can be used for classification, ranking, recommendation and other …
Continue reading at arxiv.org (PDF) (other versions)

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