We discuss a class of chain graph models for categorical variables defined by what we call a multivariate regression chain graph Markov property. First, the set of local independencies of these models ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Do you like pie charts? Have you ever thought about replacing them with a bar chart? Or a line chart? Do you know when to use what chart? Here is a little table that you can use to make your choice: ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

Graph databases represent one of the fastest-growing areas in the database market. MarketsandMarkets’ report on graph databases predicts that graph databases will grow from $1.9 billion in 2021 to ...