Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important applications in networking, bioinformatics, software engineering, ...

Compound graphs, a frequently encountered type of data set, have a hierarchical tree structure with parent-child relations (‘inclusion’ relations) and non-hierarchical relations between leaf nodes ...

Effective graph visualization is crucial for various fields, including social network analysis, bioinformatics, cybersecurity, and software engineering. By providing a visual understanding of complex ...

Put simply, data visualization is a visual depiction of information. It’s some form of imagery, whether that’s a chart, a map, an infographic, or something else that can present data. A computer ...

Software Graph Visualization delivers question-driven, dynamic graphs that map risk exposure, attack surfaces, and sensitive data flow in an intuitive, real-time format.

A graph is a collection of nodes (or vertices) and edges (or links) Graph visualization is the visual representation of the nodes and edges of a graph. This way of representing data is well-suited for ...

Engineering of the compiled software is an important task in software engineering. One of the stages of the engineering technologies is a construction and analysis of a control flow graphs, which ...

See doc/build.html for prerequisites and detailed build notes. Graph visualization is a way of representing structural information as diagrams of abstract graphs and networks. It has important ...