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train_conf.yaml
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GCN:
cora:
train_per_class: 20
val_per_class: 20
my_val_per_class: 10
hidden_dim: 64
drop_rate: 0.8
num_layers: 2
my_lr: 1.92E-04
my_t_lr: 2.60E-04
lam: 1
k: 1
t_lr: 0.005
l2_coef: 0.01
n_epoch: 200
citeseer:
train_per_class: 20
val_per_class: 20
my_val_per_class: 10
hidden_dim: 64
drop_rate: 0.8
num_layers: 2
my_lr: 6.90E-06
my_t_lr: 7.46E-05
lam: 1
k: 1
t_lr: 0.01
l2_coef: 0.01
n_epoch: 200
pubmed:
train_per_class: 20
val_per_class: 20
my_val_per_class: 10
hidden_dim: 16
drop_rate: 0.5
num_layers: 2
my_lr: 7.40E-06
my_t_lr: 9.38E-05
lam: 200
k: 1
t_lr: 0.01
l2_coef: 0.002
n_epoch: 200
GAT:
cora:
train_per_class: 20
val_per_class: 20
my_val_per_class: 10
hidden_dim: 64
heads: 8
drop_rate: 0.6
num_layers: 2
my_lr: 1.68E-03
my_t_lr: 3.29E-04
lam: 1
k: 2
t_lr: 0.01
l2_coef: 0.005
n_epoch: 50
citeseer:
train_per_class: 20
val_per_class: 20
my_val_per_class: 10
hidden_dim: 64
heads: 8
drop_rate: 0.6
num_layers: 2
my_lr: 6.24E-05
my_t_lr: 1.71E-04
lam: 1
k: 2
t_lr: 0.01
l2_coef: 0.01
n_epoch: 50
pubmed:
train_per_class: 20
val_per_class: 20
my_val_per_class: 10
hidden_dim: 8
heads: 8
drop_rate: 0.2
num_layers: 2
my_lr: 2.95E-05
my_t_lr: 3.27E-06
lam: 200
k: 2
t_lr: 0.01
l2_coef: 0.001
n_epoch: 50