In other words, the values cannot exceed 1.0 or be less than -1.0. A correlation of -1.0 indicates a perfect negative correlation, and a correlation of 1.0 indicates a perfect positive correlation.

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Negative sampling is an approach used to speed up knowledge graph embedding learning and maximize the efficacy of embedding models for supported tasks such as link prediction and entity resolution.