Category: B2; Team name: TG; Dataset: Simplicial PPI (HIGH-PPI SHS27k + CORUM)#230
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grapentt wants to merge 34 commits intogeometric-intelligence:mainfrom
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Category: B2; Team name: TG; Dataset: Simplicial PPI (HIGH-PPI SHS27k + CORUM)#230grapentt wants to merge 34 commits intogeometric-intelligence:mainfrom
grapentt wants to merge 34 commits intogeometric-intelligence:mainfrom
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added 10 commits
November 18, 2025 15:12
… should be {0,1} or [0,1] respectively for CrossEntropyLoss and interpretability
…ing which can be used for semi-supervision
added 6 commits
November 19, 2025 21:32
…er level cell-prediction
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Dear Participants, This is a final reminder regarding the upcoming challenge deadline. 📅 Deadline: Tomorrow, 25th November 2025 ✅ Critical Requirement: Please ensure your branch is passing all CI/CD tests. If you have any pending changes, please push them and verify your build status as soon as possible. Good luck! |
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… should be {0,1} or [0,1] respectively for CrossEntropyLoss and interpretability
…ing which can be used for semi-supervision
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Hi @grapentt! Feel free to modify |
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NOTE: This PR branches from branch 'ppi-data' which contains my A2 submission as it builds on top of it. The actual changes are less than github is showing because it compares diff with main. If we decide to merge this PR, we should first merge the A2 PR.
Note: Due to time reason I could not finish this PR. I have some files locally not pushed yet and did not have the time to run proper benchmarks/tests and write documentation. I will add this and refactor the code once the challenge is officially over.
Checklist
My pull request has a clear and explanatory title.
My pull request passes the Linting test.
I added appropriate unit tests and I made sure the code passes all unit tests. (refer to comment below)
My PR follows PEP8 guidelines. (refer to comment below)
My code is properly documented, using numpy docs conventions, and I made sure the documentation renders properly.
I linked to issues and PRs that are relevant to this PR.
Extend SCCNN implementation to work with higher order cells
I tested the new SCCNN vs the old implementation on the lifted us-county-demos dataset for 50 epochs with seed 123. Results:
Description
Issue
Additional context