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: wn18
  splitter: rel_type
  pre_transform: ['Constant', {'value':1.0, 'cat':False}]
dataloader:
  type: pyg
model:
  type: gcn
  hidden: 64
  out_channels: 18
  task: link
train:
  local_update_steps: 16
  optimizer:
    lr: 0.25
    weight_decay: 0.0005
criterion:
  type: CrossEntropyLoss
trainer:
  type: linkfullbatch_trainer
eval:
  freq: 5
  metrics: ['hits@1', 'hits@5', 'hits@10']