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A stochastic correlation approach using copula functions offers a flexible alternative. By allowing correlations to vary ...

Researchers from Science Tokyo have contributed to an international collaboration that recently published a perspective ...

Networks are a powerful tool in the modeling of complex systems, which are composed of a large number of parts interacting with each other, with ...

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However, they have shortcomings in extracting meaningful spatial and temporal relationships ... the total information coefficient to capture non-linear dependencies among well-log data and uses graph ...

This may be because the Cora data set is relatively small and the relationship between ... it is sufficient for graph neural networks to learn high-quality node representations without complex ...

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In particular, its packages focus on the estimation of spatial relationships in data with a variety of linear, generalized-linear, generalized-additive, nonlinear, multi-level, and local regression ...

Figure 2 shows a three-dimensional graph of the estimated relative risk for IHD ... We found that the temperature–IHD mortality relationships were non-linear in all five cities. The minimum-mortality ...

This is where graph databases and NoSQL come into play. Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and s ...