Graph Representation Learning and Its Applications: A Survey

Graphs are data structures that effectively represent relational data in the real world. Graph representation learning is a significant task since it could facilitate various downstream tasks, such as node classification, link prediction, etc. Graph representation learning aims to map graph entities...

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Detalles Bibliográficos
Autores principales: Hoang, Van Thuy, Jeon, Hyeon-Ju, You, Eun-Soon, Yoon, Yoewon, Jung, Sungyeop, Lee, O-Joun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144941/
https://www.ncbi.nlm.nih.gov/pubmed/37112507
http://dx.doi.org/10.3390/s23084168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10144941/
https://www.ncbi.nlm.nih.gov/pubmed/37112507
http://dx.doi.org/10.3390/s23084168

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