In our book Graph Data Modelling in Python, you will learn how to design, implement and utilize a variety of graph data models, using the open-source Python libraries NetworkX and igraph. Following ...

Graph data models are represented by graphs, where nodes are entities, properties are attributes, and relationships are edges. Add your perspective Help others by sharing more (125 characters min ...

“A graph is a good abstraction for a social network, but social networks are so much more. With higher-order systems, there are more ways to model.” Graph theory may show how individuals are connected ...

Many HPC and modern large graph processing applications belong to a class of scale-out applications, where the application dataset is partitioned and processed by a cluster of machines. Assessing the ...

Graph classification is an important task widely applied to biochemistry, social networks, and other fields. Since it is a data-dependent problem, insufficient training data will deteriorate the ...

The model above also ensures that the permission model is both scalable and flexible, and as we will see later on, the requirements mentioned are a perfect fit for a graph. Out-of-the-box solutions ...