Graph Neural Networks (GNNs) are proposed without considering the agnostic distribution shifts between training graphs and testing graphs, inducing the degeneration of the generalization ability of ...
Abstract: This paper proposes a method for predicting river water level distribution using time-delay dynamic mode decomposition (tdDMD) and sparse modeling with graph filter banks (GFB). As a ...
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