feat: Add nested hypergraph generators (Kim et al. 2023, Barrett et al. 2025)#683
Open
jg-you wants to merge 1 commit intoxgi-org:devfrom
Open
feat: Add nested hypergraph generators (Kim et al. 2023, Barrett et al. 2025)#683jg-you wants to merge 1 commit intoxgi-org:devfrom
jg-you wants to merge 1 commit intoxgi-org:devfrom
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds two generative models that explicitly parameterize nestedness:
random_nested_hypergraphandsimplicial_chung_lu_hypergraph.Barrett et al.: Implementation of Algorithms 3 and 4 from the paper. Couldn't find much to re-use between this and
chung_lu_hypergraphsince the methods are fundamentally different.Kim et al.: Implements the algorithm described in Section II here. Duplicate edges are prevented during facet generation (step 1) and after rewiring (step 3) using frozenset sets. I wasn't sure whether
epsilonwas fixed or could vary by order, so I made this argument a list or a float to support both cases.Notes
dfor edge size,pfor probability,epsilonfor retention,k1/k2for degree/size sequences.