Drop VanillaGrAPE — control method not exposed in releaseHEADmain

- src/trainers.py: removed class VanillaGrAPETrainer (~30 lines) and
  cleaned the module-level methods-compared docstring.
- experiments/run_ablation_20seeds.py: dropped VanillaGrAPE row from the
  4-method ablation grid; sweep is now BP → DFA → DFA-GNN → KAFT.

Smoke test: BPTrainer / DFATrainer / DFAGNNTrainer / KAFTTrainer all train
cleanly at GCN L=4, Cora, 50 epochs (test acc 77.3 / 76.6 / 78.4 / 79.0).

1 files changed, 2 insertions, 6 deletions

diff --git a/experiments/run_ablation_20seeds.py b/experiments/run_ablation_20seeds.py
index d2bd434..e90917d 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 → KAFT."""
+"""Ablation study with 20 seeds: BP → DFA → DFA-GNN → 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, KAFTTrainer
+from src.trainers import BPTrainer, DFATrainer, DFAGNNTrainer, KAFTTrainer
 
 device = 'cuda:0'
 SEEDS = list(range(20))
@@ -18,10 +18,6 @@ METHODS = {
     'BP': (BPTrainer, {}),
     'DFA': (DFATrainer, {}),
     'DFA-GNN': (DFAGNNTrainer, {'topo_mode': 'fixed_A'}),
-    'VanillaGrAPE': (VanillaGrAPETrainer, {
-        'diffusion_alpha': 0.5, 'diffusion_iters': 10,
-        'lr_feedback': 0.5, 'num_probes': 64, 'topo_mode': 'fixed_A'
-    }),
     'KAFT': (KAFTTrainer, {
         'diffusion_alpha': 0.5, 'diffusion_iters': 10,
         'lr_feedback': 0.5, 'num_probes': 64, 'topo_mode': 'fixed_A'