Survey on graph embeddings and their applications to machine learning problems on graphs

Dealing with relational data always required significant computational resources, domain expertise and task-dependent feature engineering to incorporate structural information into a predictive model. Nowadays, a family of automated graph feature engineering techniques has been proposed in different...

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Detalles Bibliográficos
Autores principales: Makarov, Ilya, Kiselev, Dmitrii, Nikitinsky, Nikita, Subelj, Lovro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959646/
https://www.ncbi.nlm.nih.gov/pubmed/33817007
http://dx.doi.org/10.7717/peerj-cs.357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7959646/
https://www.ncbi.nlm.nih.gov/pubmed/33817007
http://dx.doi.org/10.7717/peerj-cs.357

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