KANGCI applies Kolmogorov-Arnold Networks with group-lasso penalties on first-layer base weights to infer Granger causality from time series, plus a time-reversal fusion heuristic to reduce spurious links.
A review of the granger-causality fallacy
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Kolmogorov-Arnold Networks for Time Series Granger Causality Inference
KANGCI applies Kolmogorov-Arnold Networks with group-lasso penalties on first-layer base weights to infer Granger causality from time series, plus a time-reversal fusion heuristic to reduce spurious links.