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Add largest connected component method #1562
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# Conflicts: # raphtory/src/python/graph/graph.rs
miratepuffin
requested changes
Apr 11, 2024
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Looks great! A minor optimisation for the way you get the LCC and this can go in.
Thanks again for contributing
miratepuffin
approved these changes
Apr 14, 2024
fabianmurariu
pushed a commit
that referenced
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May 21, 2024
* Add largest connected component method * Expose lcc to python * Expose lcc to python * optimise the function * run cargo +nightly fmt * Missed a bracket on the merge * run cargo +nightly fmt --------- Co-authored-by: Ben Steer <b.a.steer@qmul.ac.uk>
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What changes were proposed in this pull request?
This pull request introduces a method that extracts the largest connected component from a graph. The method, utilises the weakly connected components algorithm to identify and return the largest connected component as a new sub-graph.
Why are the changes needed?
Resolves an issue.
Does this PR introduce any user-facing change? If yes is this documented?
Yes, it adds a new algorithm method that is exposed through the graph.rs API. While this change is currently not documented, I am prepared to provide documentation upon request.
How was this patch tested?
Unit tests, in Python and Rust: tested against an empty graph, single connected component, multiple connected components, and same size connected components.
Issues
resolves
#1214Are there any further changes required?
Return a neater warning message when there are two or more largest connected components. Can do that upon request.