Implementation of SCCN

[georg-bn]

ICML 2023 Topological Deep Learning Challenge. Initial commit of SCCN from Yang et al. LoG 2022.

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[codecov]

Codecov Report

Merging #129 (18509d7) into main (c471ea2) will increase coverage by 0.91%.
The diff coverage is 100.00%.

@@            Coverage Diff             @@
##             main     #129      +/-   ##
==========================================
+ Coverage   93.00%   93.91%   +0.91%     
==========================================
  Files           8        9       +1     
  Lines         200      230      +30     
==========================================
+ Hits          186      216      +30     
  Misses         14       14              

Impacted Files	Coverage Δ
topomodelx/nn/simplicial/sccn_layer.py	100.00% <100.00%> (ø)

[mathildepapillon]

Hello @georg-bn ! 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 papillon@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 model you implemented
• the domain of the model you implemented
• your pull request number (Implementation of SCCN #129)

Before July 13, 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.