use_gpu: True
device: 0
early_stop:
  patience: 100
  improve_indicator_mode: mean
federate:
  mode: standalone
  make_global_eval: True
  total_round_num: 400
data:
  root: data/
  type: dblp_conf
dataloader:
  type: graphsaint-rw
  batch_size: 256
model:
  type: sage
  hidden: 1024
  out_channels: 4
  task: node
train:
  local_update_steps: 16
  optimizer:
    lr: 0.05
    weight_decay: 0.0005
    type: SGD
criterion:
  type: CrossEntropyLoss
trainer:
  type: nodeminibatch_trainer
eval:
  metrics: ['acc', 'correct']