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compute a large dataset for interpretability comparisons #36

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peach-lucien opened this issue Apr 17, 2020 · 3 comments
Open

compute a large dataset for interpretability comparisons #36

peach-lucien opened this issue Apr 17, 2020 · 3 comments
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enhancement New feature or request

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@peach-lucien
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We can produce a large dataset with lots of different graph types: real, classic, random etc. We then compute all their features. For a given new graph we can output a set of similar graphs types in respect to the feature space. This will improve interpretability.
@arnaudon
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I guess we leave this for next paper?

@peach-lucien
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Yes this will be quite big undertaking and may require a student working on it extensively.

@arnaudon
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we could have some more synthetic datasets as a first step towards this. I have put SBM with 1, 2, 3 and 4 clusters as a toy example.

@arnaudon arnaudon added the enhancement New feature or request label Jun 21, 2020
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@arnaudon @peach-lucien