Data:
  preprocess_root: "/home/king/python/data/DatasetJSON_remake"
  train_vocab_file: "/home/king/python/data/fun_name_sort.jsonl"
  max_vocab_size: 10000         # modify according to the result of 1BuildExternalVocab.py
Training:
  cuda: True                    # enable GPU training if cuda is available
  dist_backend: "nccl"          # if using torch.distribution, the backend to be used
  dist_port: "1234"
  max_epoches: 10
  train_batch_size: 16
  test_batch_size: 8
  seed: 19920208
  only_test_path: 'None'
Model:
  ablation_models: "Full"       # "Full"
  gnn_type: "GraphSAGE"         # "GraphSAGE" / "GCN"
  pool_type: "global_max_pool"  # "global_max_pool" / "global_mean_pool"
  acfg_node_init_dims: 32
  cfg_filters: "200-200"
  fcg_filters: "200-200"
  number_classes: 1
  drapout_rate: 0.2
Optimizer:
  name: "AdamW"                 # Adam / AdamW
  learning_rate: 1e-3           # initial learning rate
  weight_decay: 1e-5            # initial weight decay
  learning_anneal: 1.1          # Annealing applied to learning rate after each epoch