Geospatial Area Embedding Based on the Movement Purpose Hypothesis Using Large-Scale Mobility Data from Smart Card

ISSN Print: 1913-3715
ISSN Online: 1913-3723
www.scirp.net/journal/ijcns
E-mail: [email protected]

Citations

"Geospatial Area Embedding Based on the Movement Purpose Hypothesis Using Large-Scale Mobility Data from Smart Card"
written by Masanao Ochi, Yuko Nakashio, Matthew Ruttley, Junichiro Mori, Ichiro Sakata,
published by International Journal of Communications, Network and System Sciences, Vol.9 No.11, 2016

has been cited by the following article(s):

[1]	Σύγχρονες τεχνικές ενσωμάτωσης γραφημάτων
	2023

[2]	Exploración de modelos translacionales para recomendación de ítems
	2021

[3]	A comprehensive survey of graph embedding: problems, techniques and applications
	2018

[4]	A comprehensive survey of graph embedding: Problems, techniques, and applications
	2018

[1]	A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications IEEE Transactions on Knowledge and Data Engineering, 2018 DOI:10.1109/TKDE.2018.2807452