{
  "title": "Graph Neural Network (GCN-style)",
  "network_type": "gnn",
  "environment": {
    "platform": "Linux-6.18.35-x86_64-with-glibc2.41",
    "machine": "x86_64",
    "python": "3.13.5",
    "torch": "2.10.0+cpu",
    "device": "cpu",
    "mps_available": false,
    "cuda_available": false,
    "seed": 42
  },
  "baseline": {
    "validation_accuracy": 0.4000000059604645,
    "test_accuracy": 0.4749999940395355,
    "nodes": 240,
    "train_seconds": 0.016409873962402344
  },
  "optimized": {
    "validation_accuracy": 1.0,
    "test_accuracy": 1.0,
    "nodes": 240,
    "train_seconds": 0.06462812423706055
  },
  "optimization_decision": "Increase hidden message-passing capacity and train more gradually after the baseline showed sensitivity to a small hidden representation.",
  "artifact": "baseline-vs-optimized.png"
}
