Graph input representations for machine learning applications in urban network analysis

Understanding and learning the characteristics of network paths has been of particular interest for decades and has led to several successful applications. Such analysis becomes challenging for urban networks as their size and complexity are significantly higher compared to other networks. The state...

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Veröffentlicht in:	Environment and planning. B, Urban analytics and city science Urban analytics and city science, 2021-05, Vol.48 (4), p.741-758
Hauptverfasser:	Pagani, Alessio, Mehrotra, Abhinav, Musolesi, Mirco
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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