use_gpu: True
device: 0
federate:
  mode: standalone
  make_global_eval: True
  client_num: 3
  total_round_num: 100
  method: fedsageplus
train:
  batch_or_epoch: epoch
data:
  root: data/
  type: 'cora'
  splitter: 'louvain'
dataloader:
  type: pyg
  batch_size: 1
model:
  type: sage
  hidden: 64
  dropout: 0.5
  out_channels: 7
fedsageplus:
  num_pred: 5
  gen_hidden: 64
  hide_portion: 0.5
  fedgen_epoch: 20
  loc_epoch: 1
  a: 1.0
  b: 1.0
  c: 1.0
criterion:
  type: 'CrossEntropyLoss'
trainer:
  type: nodefullbatch_trainer
eval:
  metrics: ['acc', 'correct']