Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing

Automated characterization of spatial data is a kind of critical geographical intelligence. As an emerging technique for characterization, spatial Representation Learning (SRL) uses deep neural networks (DNNs) to learn non-linear embedded features of spatial data for characterization. However, SRL e...

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Detalles Bibliográficos
Autores principales: Wang, Dongjie, Liu, Kunpeng, Mohaisen, David, Wang, Pengyang, Lu, Chang-Tien, Fu, Yanjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564394/
https://www.ncbi.nlm.nih.gov/pubmed/34746772
http://dx.doi.org/10.3389/fdata.2021.762899

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564394/
https://www.ncbi.nlm.nih.gov/pubmed/34746772
http://dx.doi.org/10.3389/fdata.2021.762899

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