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Graph-patchformer: Patch interaction transformer with adaptive graph learning for multivariate time series forecasting
DOI:10.1016/j.neunet.2025.108140.png)
Abstract
En 中文
• Proposing structural encodings to improve the predictor’s performance. • Designing Patch Interaction Block (NIB) to promote broad interactions among patches. • Experiments on twelve benchmarks demonstrate the effectiveness of the proposed method.
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