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Vietoris-Rips Lifting (Graph to Complex) #7

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Although typically used for point cloud data, this method can be adapted to graphs by treating vertices as points and defining edges based on graph distances. A k-simplex is included if the pairwise distances between its vertices are all below a certain threshold.

To construct a Vietoris-Rips complex:

  1. Define a distance metric based on the graph (e.g., shortest path distance).
  2. Select a threshold distance.
  3. Form simplices for all sets of vertices with pairwise distances less than the threshold distance.

We use nx.all_pairs_shortest_path_length to calculate the shortest path distances between all pairs of nodes in the graph. The VietorisRipsLifting class includes a distance_threshold parameter to specify the maximum allowed distance for simplex formation.

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@gbg141 gbg141 added the challenge-icml-2024 Challenge submission label Jun 15, 2024
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gbg141 commented Jul 8, 2024

Hello @Jonas-Verhellen! Thank you for your submission. As we near the end of the challenge, I am collecting participant info for the purpose of selecting and announcing winners. Please email me (or have one member of your team email me) at guillermo_bernardez@ucsb.edu so I can share access to the voting form. In your email, please include:

  • your first and last name (as well as any other team members)
  • the title of the method you implemented
  • the input domain of the method you implemented
  • the output domain of the method you implemented
  • your pull request number (Vietoris-Rips Lifting (Graph to Complex) #7)

Before July 12, make sure that your submission respects all Submission Requirements laid out on the challenge page. Any submission that fails to meet this criteria will be automatically disqualified.

@gbg141 gbg141 added award-category-1 Lifting to Simplicial or Cell Domain award-category-3 Feature-based Lifting (including those that simultaneously leverage the connectivity) labels Jul 9, 2024
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