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| author | YurenHao0426 <blackhao0426@gmail.com> | 2026-05-04 23:07:10 -0500 |
|---|---|---|
| committer | YurenHao0426 <blackhao0426@gmail.com> | 2026-05-04 23:07:10 -0500 |
| commit | 37ba0f83e3652a215680fd8515af9c14fc02e21c (patch) | |
| tree | 91463671f2ecf206deb428daae8f80c255074dfd /README.md | |
| parent | bd9333eda60a9029a198acaeacb1eca4312bd1e8 (diff) | |
Rename method GRAFT → KAFT in user-facing README
Internal code identifiers (GraphGrAPETrainer class, graft_* file prefixes,
'GRAFT' JSON dataset keys) are kept for backwards compatibility with
results/ and earlier figure caches; a note at the top of the README points
this out so reviewers don't get confused.
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 8 |
1 files changed, 6 insertions, 2 deletions
@@ -1,4 +1,8 @@ -# GRAFT (KAFT): Topology-Factorized Jacobian-Aligned Feedback for Deep GNNs +# KAFT: Topology-Factorized Jacobian-Aligned Feedback for Deep GNNs + +> Internal class names (`GraphGrAPETrainer`, file paths starting with +> `graft_*` / dataset keys `'GRAFT'`) are the original code identifier. +> The method is referred to as **KAFT** in the paper. Code release accompanying the NeurIPS 2026 submission. @@ -20,7 +24,7 @@ computed in O(1) parallel depth on GPUs. ``` src/ core method - trainers.py BPTrainer, GraphGrAPETrainer (KAFT), DFA/DFA-GNN, alignment + trainers.py BPTrainer, GraphGrAPETrainer (= KAFT), DFA/DFA-GNN, alignment data.py PyG dataset loaders, normalized  / row-Â, sparse-mm helpers experiments/ one runner per reported result block (see `## Reproducing`) figures/ figure generators + the four rendered PDFs in the paper |