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TWIG: A Time-Causal Wavelet Operator for Autoregressive Forecasting on Irregular Graphs
We introduce TWIG (Time-Causal Wavelet Operator for Irregular Graphs), a graph-native neural operator for autoregressive surrogate modeling on static irregular graphs. TWIG transforms each node history into causal multiscale temporal features that separate recent variation from progressively slower
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