CaLoNet builds a per-sample transfer-entropy graph between dimensions, enriches node features with sparse-attention local representations, and classifies with a GIN-based network, reporting competitive UEA accuracy.
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Causal and Local Correlations Based Network for Multivariate Time Series Classification
CaLoNet builds a per-sample transfer-entropy graph between dimensions, enriches node features with sparse-attention local representations, and classifies with a GIN-based network, reporting competitive UEA accuracy.