config_demo.yaml

data_file: data/reddit.npz  # Path to the .npz data file
split_seed: 0               # Seed for splitting the dataset into train/val/test
ntrain_div_classes: 20      # Number of training nodes divided by number of classes
attr_normalization: None    # Attribute normalization. Not used in the paper

alpha: 0.5                  # PPR teleport probability
eps: 1e-4                   # Stopping threshold for ACL's ApproximatePR
topk: 32                    # Number of PPR neighbors for each node
ppr_normalization: 'sym'    # Adjacency matrix normalization for weighting neighbors

hidden_size: 32             # Size of the MLP's hidden layer
nlayers: 2                  # Number of MLP layers
weight_decay: 1e-4          # Weight decay used for training the MLP
dropout: 0.1                # Dropout used for training

lr: 5e-3                    # Learning rate
max_epochs: 200             # Maximum number of epochs (exact number if no early stopping)
batch_size: 512             # Batch size for training
batch_mult_val: 4           # Multiplier for validation batch size

eval_step: 20               # Accuracy is evaluated after every this number of steps
run_val: False              # Evaluate accuracy on validation set during training

early_stop: False           # Use early stopping
patience: 50                # Patience for early stopping

nprop_inference: 2          # Number of propagation steps during inference
inf_fraction: 1.0           # Fraction of nodes for which local predictions are computed during inference