use_gpu: True
device: 0
early_stop:
  patience: 20
  improve_indicator_mode: mean
federate:
  mode: 'standalone'
  make_global_eval: False
  local_update_steps: 1
  total_round_num: 400
  share_local_model: False
data:
  root: data/
  type: fs_contest_data
  splitter: ooxx
model:
  type: gin
  hidden: 64
  out_channels: 0
  task: graph
personalization:
  local_param: ['encoder_atom', 'encoder', 'clf']   # to handle size-different pre & post layers
optimizer:
  lr: 0.01
  weight_decay: 0.0005
  type: SGD
criterion:
  type: CrossEntropyLoss
trainer:
  type: graphmaml_trainer
  finetune:
    before_eval: True
    steps: 300
eval:
  freq: 5
  metrics: ['acc', 'correct']
maml:
  use: True
  inner_lr: 0.01