Abstract: Highlights•Modeling multivariate time series with multi-point.•Design a graph structure learning method with multi-relation.•Aggregating features through the dual-stage feature aggregation method.•Experiment results demonstrate the effectiveness of the proposed DMF-STNet.•Visualization study further proves the interpretability of learned weights.
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