Global rename GRAFT → KAFT (incl. internal class + filenames)

- src/trainers.py: GraphGrAPETrainer → KAFTTrainer; module docstring + comments.
  VanillaGrAPETrainer kept as-is (it is a separate control method, not KAFT).
- experiments/: all 19 runners pick up the new class name; result keys
  ('Cora_GRAFT' etc) become 'Cora_KAFT'; OUT_DIRs renamed (e.g.
  bp_graft_depth_20seeds → bp_kaft_depth_20seeds).
- figures/: data-lookup keys + display labels both 'KAFT'; output filename
  graft_depth_sweep.{pdf,png} → kaft_depth_sweep.{pdf,png}.
- File rename: experiments/run_bp_graft_depth.py → run_bp_kaft_depth.py;
  figures/graft_depth_sweep.pdf → kaft_depth_sweep.pdf.
- README aligned.

Imports verified: from src.trainers import KAFTTrainer succeeds.

1 files changed, 2 insertions, 2 deletions

diff --git a/experiments/run_cora_perturb.py b/experiments/run_cora_perturb.py
index 1dabc95..1124b97 100644
--- a/experiments/run_cora_perturb.py
+++ b/experiments/run_cora_perturb.py
@@ -13,7 +13,7 @@ import numpy as np
 import json
 import os
 from src.data import load_dataset, build_normalized_adj, build_row_normalized_adj
-from src.trainers import BPTrainer, DFATrainer, GraphGrAPETrainer
+from src.trainers import BPTrainer, DFATrainer, KAFTTrainer
 
 device = 'cuda:0'
 SEEDS = [0, 1, 2, 3, 4]
@@ -111,7 +111,7 @@ def main():
                 common = dict(data=data, hidden_dim=64, lr=0.01, weight_decay=5e-4,
                               num_layers=L, residual_alpha=0.0, backbone='gcn')
                 bp_accs.append(train_one(BPTrainer, common, {}, seed))
-                gr_accs.append(train_one(GraphGrAPETrainer, common, grape_extra, seed))
+                gr_accs.append(train_one(KAFTTrainer, common, grape_extra, seed))
 
             bp, gr = np.mean(bp_accs)*100, np.mean(gr_accs)*100
             delta = gr - bp