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@FredericWantiez
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Add a lifting from point cloud sets to graph using the implied k-NN graph.
Note: there is no class in toponetx for a graph (compared to SC or CC classes for example), so going with something that torch_geometric could consume.

@levtelyatnikov
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@FredericWantiez, please update the linting so your submission passes the tests and qualifies for the competition.

@gbg141 gbg141 marked this pull request as ready for review July 1, 2024 11:02
@gbg141
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gbg141 commented Jul 8, 2024

Hello @FredericWantiez! 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 [email protected] 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 (Add KNN graph lifting (point cloud to graph) #13)

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-2 Lifting to Combinatorial, Hypergraph or Graph Domain award-category-3 Feature-based Lifting (including those that simultaneously leverage the connectivity) labels Jul 9, 2024
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award-category-2 Lifting to Combinatorial, Hypergraph or Graph Domain award-category-3 Feature-based Lifting (including those that simultaneously leverage the connectivity)

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3 participants