| Age | Commit message (Collapse) | Author | |
|---|---|---|---|
| 14 hours | Initial release: GRAFT (KAFT) — NeurIPS 2026 submission code | YurenHao0426 | |
| 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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index : kaft-neurips.git | |
| Unnamed repository; edit this file 'description' to name the repository. | Ubuntu |
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