Predicting Time Series of Networked Dynamical Systems without Knowing
Topology
Predicting Time Series of Networked Dynamical Systems without Knowing
Topology
Many real-world complex systems, such as epidemic spreading networks and ecosystems, can be modeled as networked dynamical systems that produce multivariate time series. Learning the intrinsic dynamics from observational data is pivotal for forecasting system behaviors and making informed decisions. However, existing methods for modeling networked time series often assume …