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...

Полное описание

Библиографические подробности
Главные авторы: Ilya Makarov, Dmitrii Kiselev, Nikita Nikitinsky, Lovro Subelj
Формат: Статья
Язык:English
Опубликовано: PeerJ Inc. 2021-02-01
Серии:PeerJ Computer Science
Предметы:
Online-ссылка:https://peerj.com/articles/cs-357.pdf