MDPNet uses a multiscale diffusion autoencoder and a graph neural ODE to predict spatiotemporal dynamics, reporting 53.23% average error reduction on four PDE benchmarks.
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Predicting the Dynamics of Complex System via Multiscale Diffusion Autoencoder
MDPNet uses a multiscale diffusion autoencoder and a graph neural ODE to predict spatiotemporal dynamics, reporting 53.23% average error reduction on four PDE benchmarks.