A pipeline uses community detection plus attention to create dynamic hypergraphs from raw multivariate time series and feeds them to DHACN for forecasting without prior structural knowledge
Distinguishing Chaotic Time Series From Noise: A Random Matrix Approach.Communications in Nonlinear Science and Numerical Simulation, 44:284–291, 2017
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Dynamic Hypergraph Representation Learning for Multivariate Time Series without Prior Knowledge
A pipeline uses community detection plus attention to create dynamic hypergraphs from raw multivariate time series and feeds them to DHACN for forecasting without prior structural knowledge