NeuroGravity: Transferable Human Mobility Network Reconstruction

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Authors: Jinming Yang
Cited by: 1

Abstract

NeuroGravity is a physics-informed deep learning model that combines the gravity model's interpretability with graph neural networks' adaptability. NeuroGravity generates robust mobility flow estimates from limited observations and can be transferred to cities without observation.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 April 2026