FS-TFP/federatedscope/gfl/baseline/fedavg_gin_minibatch_on_cik...

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YAML

use_gpu: True
device: 0
early_stop:
patience: 20
improve_indicator_mode: mean
federate:
mode: 'standalone'
make_global_eval: False
total_round_num: 100
share_local_model: False
data:
root: data/
type: cikmcup
dataloader:
type: pyg
model:
type: gin
hidden: 64
personalization:
local_param: ['encoder_atom', 'encoder', 'clf']
train:
batch_or_epoch: epoch
local_update_steps: 1
optimizer:
weight_decay: 0.0005
type: SGD
trainer:
type: graphminibatch_trainer
eval:
freq: 5
metrics: ['imp_ratio']
report: ['avg']
best_res_update_round_wise_key: val_imp_ratio
count_flops: False
base: 0.