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, 3 insertions, 3 deletions

diff --git a/experiments/run_depth_extras.py b/experiments/run_depth_extras.py
index 66a7d45..e3b860b 100644
--- a/experiments/run_depth_extras.py
+++ b/experiments/run_depth_extras.py
@@ -1,6 +1,6 @@
 #!/usr/bin/env python3
 """H11: Fill depth sweep at L=14 and L=18 to densify Fig 4(a).
-3 methods (BP / DFA-GNN / GRAFT) × 4 datasets × 2 depths × 20 seeds = 480 runs.
+3 methods (BP / DFA-GNN / KAFT) × 4 datasets × 2 depths × 20 seeds = 480 runs.
 """
 
 import torch
@@ -8,7 +8,7 @@ import numpy as np
 import json
 import os
 from src.data import load_dataset
-from src.trainers import BPTrainer, DFAGNNTrainer, GraphGrAPETrainer
+from src.trainers import BPTrainer, DFAGNNTrainer, KAFTTrainer
 from run_dblp_depth import load_dblp
 
 device = 'cuda:0'
@@ -24,7 +24,7 @@ dfagnn_extra = dict(diffusion_alpha=0.5, diffusion_iters=10, max_topo_power=3)
 METHODS = {
     'BP':      (BPTrainer, {}),
     'DFA-GNN': (DFAGNNTrainer, dfagnn_extra),
-    'GRAFT':   (GraphGrAPETrainer, grape_extra),
+    'KAFT':   (KAFTTrainer, grape_extra),
 }