Graph convolutional networks: a comprehensive review

Graphs naturally appear in numerous application domains, ranging from social analysis, bioinformatics to computer vision. The unique capability of graphs enables capturing the structural relations among data, and thus allows to harvest more insights compared to analyzing data in isolation. However,...

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Detalles Bibliográficos
Autores principales: Zhang, Si, Tong, Hanghang, Xu, Jiejun, Maciejewski, Ross
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615927/
https://www.ncbi.nlm.nih.gov/pubmed/37915858
http://dx.doi.org/10.1186/s40649-019-0069-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10615927/
https://www.ncbi.nlm.nih.gov/pubmed/37915858
http://dx.doi.org/10.1186/s40649-019-0069-y

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