Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling

Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling

The estimation of human mobility patterns is essential for many components of developed societies, including the planning and management of urbanization, pollution, and disease spread. One important type of mobility estimator is the next-place predictors, which use previous mobility observations to...

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Bibliographic Details
Main Authors:	Riccardo Corrias, Martin Gjoreski, Marc Langheinrich
Format:	Article
Language:	English
Published:	MDPI AG 2023-05-01
Series:	Sensors
Subjects:	machine learning deep learning graph convolutional networks transformers mobility modeling
Online Access:	https://www.mdpi.com/1424-8220/23/10/4803

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