JuliaGraphs / JuliaGraphs/MetaGraphsNext.jl
Is there an efficient way to read a GraphML file and produce a MetaGraph?
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- Dominant language
- Julia
- Stars
- 93
- Forks
- 24
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Description
Is there an efficient way to read a GraphML file and produce a MetaGraph?
My use case: I have a file with vertices and edges, all with metadata. I can succesfully read the graph using
g = loadgraph(“calcGraph.graphml”,“graph”, GraphMLFormat())
but that ignores the key and data nodes. MetaGraphNext.jl doesn’t seem to have a function to read GraphML files.
Is there a way to read the GraphML, apart from using EzXML to read the GraphML file and building the MetaGraph myself? If not, what would be the most efficient and/or most Julian way to approach this?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the GraphMLFormat/loadgraph path and the MetaGraphNext.jl APIs for vertex and edge metadata. Compare how GraphML key and data nodes are handled with the metadata expected by MetaGraphNext.jl. Done means establishing a supported, efficient way to load the metadata or documenting why a custom EzXML-based conversion is required.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100