Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Hypergraph Heat Kernel Lift (Hypergraph to Simplicial) (icml2024-58) #140

Draft
wants to merge 59 commits into
base: main
Choose a base branch
from

Conversation

luisfpereira
Copy link
Collaborator

This PR brings in pyt-team/challenge-icml-2024#58.

Points to consider:

  • main change to original implementation is removal of weights key (x_<r> only instead) and creation of dict only within the LiftingTransform pipeline, i.e. HypergraphHeatLifting returns a tnx.SimplicialComplex

  • first use of a hypergraph2simplicial lifting (may need to improve input represnetation)

  • original PR message added as modules docstring TODO: add also nice figures and application example?

  • tutorial disregarded

  • datasets disregarded

NB: need to merge #116 first

Copy link

Check out this pull request on  ReviewNB

See visual diffs & provide feedback on Jupyter Notebooks.


Powered by ReviewNB

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants