Abstract: The integration of temporal features and correlations across time series has emerged as an effective strategy in time series prediction. Spatial-Temporal Graph Neural Networks (STGNNs) have ...
Predicting Links in Knowledge Graphs With the Canonical Correlation Analysis and Fusing Tensor Model
Abstract: Relation prediction in knowledge graphs is critical for uncovering missing links between entities. Previous models mostly focused on learning the distance of entities and relation within ...
$Y \ (n \times 1)$ is the vector of raw phenotypic measurements, with values possibly repeated for each genotype across one or more environments. $W \ (n \times n ...
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