use_gpu: True
device: 0
early_stop:
  patience: 100
  improve_indicator_mode: mean
federate:
  mode: 'standalone'
  make_global_eval: False
  total_round_num: 400
  share_local_model: False
data:
  root: data/
  type: mini-graph-dc
dataloader:
  type: pyg
model:
  task: graph
  type: gin
  hidden: 64
personalization:
  local_param: ['encoder_atom', 'encoder', 'clf']
train:
  batch_or_epoch: epoch
  local_update_steps: 1
  optimizer:
    type: SGD
trainer:
  type: graphminibatch_trainer
eval:
  freq: 1
  metrics: ['acc', 'correct']
  count_flops: False
  split: ['train', 'val', 'test']