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_ablation_20seeds.py b/experiments/run_ablation_20seeds.py
index 61055ed..d2bd434 100644
--- a/experiments/run_ablation_20seeds.py
+++ b/experiments/run_ablation_20seeds.py
@@ -1,5 +1,5 @@
 #!/usr/bin/env python3
-"""Ablation study with 20 seeds: BP → DFA → DFA-GNN → VanillaGrAPE → GRAFT."""
+"""Ablation study with 20 seeds: BP → DFA → DFA-GNN → VanillaGrAPE → KAFT."""
 
 import torch
 import numpy as np
@@ -7,7 +7,7 @@ import json
 import os
 from scipy import stats as scipy_stats
 from src.data import load_dataset
-from src.trainers import BPTrainer, DFATrainer, DFAGNNTrainer, VanillaGrAPETrainer, GraphGrAPETrainer
+from src.trainers import BPTrainer, DFATrainer, DFAGNNTrainer, VanillaGrAPETrainer, KAFTTrainer
 
 device = 'cuda:0'
 SEEDS = list(range(20))
@@ -22,7 +22,7 @@ METHODS = {
         'diffusion_alpha': 0.5, 'diffusion_iters': 10,
         'lr_feedback': 0.5, 'num_probes': 64, 'topo_mode': 'fixed_A'
     }),
-    'GRAFT': (GraphGrAPETrainer, {
+    'KAFT': (KAFTTrainer, {
         'diffusion_alpha': 0.5, 'diffusion_iters': 10,
         'lr_feedback': 0.5, 'num_probes': 64, 'topo_mode': 'fixed_A'
     }),