STDDN integrates the fluid continuity equation into a Neural ODE with density-velocity graph learning to improve long-term crowd trajectory prediction and reduce inference latency.
Modelling networked dynamical system by temporal graph neural ode with irregularly partial observed time-series data.arXiv preprint arXiv:2412.00165
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STDDN: A Physics-Guided Deep Learning Framework for Crowd Simulation
STDDN integrates the fluid continuity equation into a Neural ODE with density-velocity graph learning to improve long-term crowd trajectory prediction and reduce inference latency.