A prior-guided, data-driven human mobility model
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Aiming to better capture the spatial heterogeneity in human mobility, we introduce a prior-guided data-driven human mobility model based on the popular graph neural network architecture, which is named Prior-Guided Mobility Flow Generation Network (PG-MFG). We provide an implementation of PG-MFG using the New York dataset as an example.
创建时间：
2025-04-09
