Conference
Open access
Sep 2026
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.
Zhen-Zhou Li, Xiang Li, Zhibin Niu
· Proceedings of the Thirty-Fi... · 0 citations