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Graph representation learning for street networks
We train the model on thousands of street network segments and use the learnt representations to generate synthetic street configurations.
An unsupervised approach to Geographical Knowledge Discovery using street level and street network images
Researches integrating geographical processes in machine learning models and the use of unsupervised approacheson geographical data for knowledge discovery had been sparse.
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