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authorYurenHao0426 <blackhao0426@gmail.com>2026-05-04 23:05:16 -0500
committerYurenHao0426 <blackhao0426@gmail.com>2026-05-04 23:05:16 -0500
commitbd9333eda60a9029a198acaeacb1eca4312bd1e8 (patch)
tree7544c347b7ac4e8629fa1cc0fcf341d48cb69e2e /.gitignore
Initial release: GRAFT (KAFT) — NeurIPS 2026 submission code
Topology-factorized Jacobian-aligned feedback for deep GNNs. Includes: - src/: GraphGrAPETrainer (KAFT) + BP / DFA / DFA-GNN / VanillaGrAPE baselines + multi-probe alignment estimator + dataset / sparse-mm utilities. - experiments/: 19 runners reproducing every figure / table in the paper. - figures/: 4 generators + the 4 PDFs cited in the report. - paper/: NeurIPS .tex and consolidated experiments_master notes. Smoke test: 50-epoch Cora GCN L=4 gives BP 77.3% / KAFT 79.0%.
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+# Python
+__pycache__/
+*.py[cod]
+*.so
+*.egg-info/
+.venv/
+venv/
+.ipynb_checkpoints/
+
+# Data + result caches (generated locally)
+data/
+results/
+*.pt
+*.pkl
+*.npz
+
+# OS / editor
+.DS_Store
+.idea/
+.vscode/
+*.swp
+
+# LaTeX build
+*.aux
+*.log
+*.out
+*.bbl
+*.blg
+*.toc
+*.fls
+*.fdb_latexmk
+*.synctex.gz