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, 6 insertions, 6 deletions

diff --git a/experiments/run_hero_extras.py b/experiments/run_hero_extras.py
index c6fed4d..ced76b8 100644
--- a/experiments/run_hero_extras.py
+++ b/experiments/run_hero_extras.py
@@ -1,8 +1,8 @@
 #!/usr/bin/env python3
 """E0a+E0c+E0e: hero-table coverage expansion. Adds 3 datasets (PubMed stack,
-Coauthor-Physics, Coauthor-CS) × 5 methods (BP, DFA, DFA-GNN, GRAFT,
-GRAFT+ResGCN) × 20 seeds, all GCN L=6. Goal: 6-row hero table of homophilous
-citation/coauthor graphs where GRAFT or GRAFT+ResGCN is best per row."""
+Coauthor-Physics, Coauthor-CS) × 5 methods (BP, DFA, DFA-GNN, KAFT,
+KAFT+ResGCN) × 20 seeds, all GCN L=6. Goal: 6-row hero table of homophilous
+citation/coauthor graphs where KAFT or KAFT+ResGCN is best per row."""
 
 import torch
 import numpy as np
@@ -10,7 +10,7 @@ import json
 import os
 from scipy import stats as scipy_stats
 from src.data import load_dataset, spmm
-from src.trainers import BPTrainer, DFATrainer, DFAGNNTrainer, GraphGrAPETrainer
+from src.trainers import BPTrainer, DFATrainer, DFAGNNTrainer, KAFTTrainer
 from run_deep_baselines import ResGCNTrainer
 from run_combo_20seeds import GRAFTResGCN
 from run_large_graph_scout import load_and_check
@@ -54,8 +54,8 @@ METHODS = {
     'BP':            (BPTrainer, {}),
     'DFA':           (DFATrainer, dfagnn_extra),
     'DFA-GNN':       (DFAGNNTrainer, dfagnn_extra),
-    'GRAFT':         (GraphGrAPETrainer, grape_extra),
-    'GRAFT+ResGCN':  (GRAFTResGCN, grape_extra),
+    'KAFT':         (KAFTTrainer, grape_extra),
+    'KAFT+ResGCN':  (GRAFTResGCN, grape_extra),
 }