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Zhibin Niu

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ConDyGNet: Constraint-Guided Dynamic Graph Networks for Multivariate Time Series Forecasting

A Constraint-Guided Dynamic Graph Network (ConDyGNet), whose core idea is “global basis, dynamic weights”, which learns a low-rank global basis as a shared structural constraint and generates patch-wise basis mixing weights to construct dynamic propagation graphs.

Zhenzhou Li, Xiang Li, Zhibin Niu · 0 citations