use_gpu: True
device: 0
early_stop:
  patience: 20
  improve_indicator_mode: mean
federate:
  mode: 'standalone'
  make_global_eval: True
  total_round_num: 400
  client_num: 5
data:
  root: data/
  type: hiv
  splitter: scaffold
dataloader:
  type: pyg
model:
  type: gcn
  hidden: 64
  out_channels: 2
  task: graph
train:
  local_update_steps: 16
  optimizer:
    lr: 0.25
    weight_decay: 0.0005
criterion:
  type: CrossEntropyLoss
trainer:
  type: graphminibatch_trainer
eval:
  freq: 5
  metrics: ['acc', 'correct', 'roc_auc']