Encyclopedia
Graph Modelling Language
ASCII-based file format for describing graphs
Graph Modeling Language (GML) is a hierarchical ASCII-based file format for describing graphs. It has been also named Graph Meta Language.
01Example
A simple graph in GML format:
graph [ comment "This is a sample graph" directed 1 id 42 label "Hello, I am a graph" node [ id 1 label "node 1" thisIsASampleAttribute 42 ] node [ id 2 label "node 2" thisIsASampleAttribute 43 ] node [ id 3 label "node 3" thisIsASampleAttribute 44 ] edge [ source 1 target 2 label "Edge from node 1 to node 2" ] edge [ source 2 target 3 label "Edge from node 2 to node 3" ] edge [ source 3 target 1 label "Edge from node 3 to node 1" ] ]02Applications supporting GML
- Cytoscape, an open source bioinformatics software platform for visualizing molecular interaction networks, loads and save previously-constructed interaction networks in GML.
- igraph, an open source network analysis library with interfaces to multiple programming languages.
- Gephi, an open source graph visualization and manipulation software.
- Graph-tool, a free Python module for manipulation and statistical analysis of graphs.
- NetworkX, an open source Python library for studying complex graphs.
- Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements).
- yEd, a free Java-based graph editor, supports import from and export to GML.
- The Graphviz project includes two command-line tools (gml2gv and gv2gml) that can convert to and from the DOT file format.
- Wolfram Language, a general very high-level programming language, supports GML import and export.
Sources and credits
This article is adapted from the Wikipedia article “Graph Modelling Language”, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.
Fathomly is not affiliated with or endorsed by the Wikimedia Foundation. Spotted a problem? Tell us.