Graph Neural Networks
Thibaut discusses the innovative use of graph neural networks to predict delivery costs across urban districts. By analyzing census data and defining basic units of the city, the model incorporates various features to accurately estimate costs. The final output is a scalar value representing the estimated cost for each district, showcasing the power of modern data techniques in urban logistics.In this clip
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