splitter:
  root: DATA_SPLITS/
  class_name: pydgn.data.splitter.Splitter
  args:
    n_outer_folds: 1
    n_inner_folds: 1
    seed: 42
    stratify: False  # works for graph classification tasks
    shuffle: True
    inner_val_ratio: 0.1
    outer_val_ratio: 0.1
    test_ratio: 0.1
dataset:
  root: DATA
  class_name: dataset.SyntheticDataset
  args:
    root: DATA
    name: SyntheticDataset
    raw_dir: GENERATED_DATA/set/missing_data/Synthetic_0_100
    per_community_weight: 0  # percentage
    structure_weight: 100  # percentage
  pre_transform:
    - class_name: transform.GammaRandomNodeFeaturesMask
      args:
        alpha: 1.5
        beta: 2