Track: Track1; Team name: yeahkitory; Model: Bundle Neural Networks (BuNN)#319
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yeahkitoryisgood wants to merge 22 commits into
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Track: Track1; Team name: yeahkitory; Model: Bundle Neural Networks (BuNN)#319yeahkitoryisgood wants to merge 22 commits into
yeahkitoryisgood wants to merge 22 commits into
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Prasanna28Devadiga
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May 17, 2026
Add the artefacts produced by running 2026_tdl_challenge/run_evaluation.ipynb
with MODEL_CONFIG="graph/conn_nsd":
outputs/conn_nsd_full/
results.json — 72 rows, 3 seeds × 12 cells × 2 tasks
heatmap_community_detection_accuracy.png — accuracy mean ± std heatmap
heatmap_triangle_mse_over_triangles.png — MSE / Σtriangles heatmap
OOD/ — 6 OOD-delta panels
OOD_{low,mid,high}_homophily__{community_detection,triangle_counting}.png
Convention mirrors the BuNN submission (PR geometric-intelligence#319), which uses
2026_tdl_challenge/outputs/bunn_full/. Files are force-added past the
.gitignore rule for the broader outputs/ directory.
Headline numbers (10-epoch budget; the spec explicitly does NOT reward
final performance):
- Community detection: mean test accuracy 0.075 across all 36 runs;
chance is 1/12 for the 12-community task. Per-seed range [0.04, 0.12].
- Triangle counting: mean test MSE / Σtriangles = 10.46 across all
36 runs.
These confirm the pipeline runs end-to-end on every grid cell with no
NaNs in metric fields that should be finite.
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Summary
2026_tdl_challenge/outputs/bunn_full/results.json.Validation
.venv\Scripts\python.exe -m ruff check topobench\nn\backbones\graph\bunn.py test\nn\backbones\graph\test_bunn.py-> passed.venv\Scripts\python.exe -m pytest test\nn\backbones\graph\test_bunn.py -q-> 59 passed.venv\Scripts\python.exe -m pytest test\nn\backbones\graph\test_bunn.py test\pipeline\test_pipeline.py -q-> 60 passed0.1034, triangle normalized MSE6.7543The full grid result above was generated before the invalid-input validation commits; the valid-input computation path is unchanged by these hardening patches.
Submission Info