A package for NestedGraphs.jl to make easy visualizations.
This package exports ngraphplot, which provides some extra features on top of GraphMakie.graphplot.
All features of GraphMakie.graphplot can be accesssed whatsoever.
See the API docs.
Some examples of NestedGraph visualizations:
using Graphs, NestedGraphs, NestedGraphsMakie, GLMakie
ngm = let
g1 = complete_graph(3)
g2 = complete_graph(3)
g3 = complete_graph(3)
g4 = complete_graph(4)
eds = [((1,1), (2,1)), ((3,2), (2,1)), ((3,3),(2,3)), ((1,1),(4,1))]
ng = NestedGraph([g1,g2,g3,g4], eds, both_ways=true)
ng1 = NestedGraph([g1,g2], [((1,1), (2,1))])
ng2 = NestedGraph([g3,g4], [((1,2), (2,2)), ((1,3), (2,3))])
NestedGraph([ng1, ng2], [((1,1),(2,1)), ((1,5),(2,2))], both_ways=true)
end
ngraphplot(ngm)
It turns out it's quite hard to visualize all nested subgraphs. Currently the following requires a rather heavy dependency.
ngraphplot(ngm, show_subgraph_regions=true)
mlg = let
layer1 = complete_graph(4)
layer2 = barabasi_albert(4, 3; seed=123)
layer3 = SimpleGraph(3)
add_edge!(layer3, 1,2)
add_edge!(layer3, 2,3)
mlg = NestedGraph([layer1, layer2, layer3])
for v in 1:(nv(layer2)-1)
add_edge!(mlg, NestedEdge(1,v, 2,v))
end
for v in 1:(nv(layer3)-1)
add_edge!(mlg, NestedEdge(2,v, 3,v))
end
add_edge!(mlg, NestedEdge(1,4, 3,3))
mlg
end
ngraphplot(mlg; multilayer=true, nlabels=repr.(mlg.vmap))