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Toward Transformer-Compatible Multivariate Time Series Learning via Visibility Graph-Based Structural Encoding
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DOI：10.1016/j.knosys.2025.114389.png)
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Abstract
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• Research highlight 1: Visibility Graph-guided Transformer focuses on learning crucial temporal patterns. • Research highlight 2: Sliding window visibility graph achieves linear complexity for large time series. • Research highlight 3: Consensus across variables improves understanding of global dependencies. • Research highlight 4: Embedding representations align well with the inherent features of the time series.
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APPLIED INTELLIGENCE
APPLIED INTELLIGENCEIF3.5
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