We present a novel framework for analyzing univariate time series data. At the heart of the approach is a versatile algorithm for measuring the similarity of two segments of time series called ...

Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human designed to ...

Template developers: Please use Sprig's function documentation for detailed instructions and code snippets for the >100 template functions available. Go developers: If you'd like to include Sprig as a ...