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License: Apache License 2.0
Graph Compression using Quasi-stable Coloring
License: Apache License 2.0
For deciding the threshold in the Rothko algorithm we currently use the average degree of all the nodes in the color. Perhaps instead we should split at the location with the largest gap to shrink the range as much as possible?
Explain end-to-end with one application (e.g. max-flow)
For example, the specific Tulip
solver is not required, all we need is defining the LP problems using MathOptInterface
.
Test largest graphs from G-CARE. Relevant to @kylebd99
The paper and this library only support undirected graphs. Extend to directed graphs---conceptually, this is straightforward.
Should improve coloring performance in when more than several hundred colors.
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Complete this section: https://mkyl.github.io/QuasiStableColors.jl/stable/internals/
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