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train.conf.yaml
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global:
num_layers: 2
hidden_dim: 128
cora:
SAGE:
fan_out: 5,5
learning_rate: 0.01
dropout_ratio: 0
weight_decay: 0.0005
GCN:
hidden_dim: 64
dropout_ratio: 0.8
weight_decay: 0.001
MLP:
learning_rate: 0.01
weight_decay: 0.005
dropout_ratio: 0.6
GAT:
dropout_ratio: 0.6
weight_decay: 0.01
num_heads: 8
attn_dropout_ratio: 0.3
APPNP:
dropout_ratio: 0.5
weight_decay: 0.01
citeseer:
SAGE:
fan_out: 5,5
learning_rate: 0.01
dropout_ratio: 0
weight_decay: 0.0005
GCN:
hidden_dim: 64
dropout_ratio: 0.8
weight_decay: 0.001
MLP:
learning_rate: 0.01
weight_decay: 0.001
dropout_ratio: 0.1
GAT:
dropout_ratio: 0.6
weight_decay: 0.01
num_heads: 8
attn_dropout_ratio: 0.3
APPNP:
dropout_ratio: 0.5
weight_decay: 0.01
pubmed:
SAGE:
fan_out: 5,5
learning_rate: 0.01
dropout_ratio: 0
weight_decay: 0.0005
GCN:
hidden_dim: 64
dropout_ratio: 0.8
weight_decay: 0.001
MLP:
learning_rate: 0.005
weight_decay: 0
dropout_ratio: 0.4
GAT:
dropout_ratio: 0.6
weight_decay: 0.01
num_heads: 8
attn_dropout_ratio: 0.3
APPNP:
dropout_ratio: 0.5
weight_decay: 0.01
a-computer:
SAGE:
fan_out: 5,5
learning_rate: 0.01
dropout_ratio: 0
weight_decay: 0.0005
GCN:
hidden_dim: 64
dropout_ratio: 0.8
weight_decay: 0.001
MLP:
learning_rate: 0.001
weight_decay: 0.002
dropout_ratio: 0.3
GAT:
dropout_ratio: 0.6
weight_decay: 0.01
num_heads: 8
attn_dropout_ratio: 0.3
APPNP:
dropout_ratio: 0.5
weight_decay: 0.01
a-photo:
SAGE:
fan_out: 5,5
learning_rate: 0.01
dropout_ratio: 0
weight_decay: 0.0005
GCN:
hidden_dim: 64
dropout_ratio: 0.8
weight_decay: 0.001
MLP:
learning_rate: 0.005
weight_decay: 0.002
dropout_ratio: 0.3
GAT:
dropout_ratio: 0.6
weight_decay: 0.01
num_heads: 8
attn_dropout_ratio: 0.3
APPNP:
dropout_ratio: 0.5
weight_decay: 0.01
ogbn-arxiv:
MLP:
num_layers: 3
hidden_dim: 256
weight_decay: 0
dropout_ratio: 0.2
norm_type: batch
MLP3w4:
num_layers: 3
hidden_dim: 1024
weight_decay: 0
dropout_ratio: 0.5
norm_type: batch
GA1MLP:
num_layers: 3
hidden_dim: 256
weight_decay: 0
dropout_ratio: 0.2
norm_type: batch
GA1MLP3w4:
num_layers: 3
hidden_dim: 1024
weight_decay: 0
dropout_ratio: 0.2
norm_type: batch
SAGE:
num_layers: 3
hidden_dim: 256
dropout_ratio: 0.2
learning_rate: 0.01
weight_decay: 0
norm_type: batch
fan_out: 5,10,15
ogbn-products:
MLP:
num_layers: 3
hidden_dim: 256
dropout_ratio: 0.5
norm_type: batch
batch_size: 4096
MLP3w8:
num_layers: 3
hidden_dim: 2048
dropout_ratio: 0.2
learning_rate: 0.01
weight_decay: 0
norm_type: batch
batch_size: 4096
SAGE:
num_layers: 3
hidden_dim: 256
dropout_ratio: 0.5
learning_rate: 0.003
weight_decay: 0
norm_type: batch
fan_out: 5,10,15
batch_size: 4096
pokec:
GCN:
num_layers: 2
hidden_dim: 32
dropout_ratio: 0.5
learning_rate: 0.01
weight_decay: 0
norm_type: batch
MLP:
num_layers: 3
hidden_dim: 256
dropout_ratio: 0.2
learning_rate: 0.001
norm_type: none
SAGE:
num_layers: 2
hidden_dim: 32
dropout_ratio: 0.5
learning_rate: 0.001
weight_decay: 0
norm_type: batch
fan_out: 5,5
penn94:
GCN:
num_layers: 2
hidden_dim: 64
dropout_ratio: 0.5
learning_rate: 0.01
weight_decay: 0.001
norm_type: batch
MLP:
num_layers: 3
hidden_dim: 256
dropout_ratio: 0
learning_rate: 0.001
norm_type: none
vk_class:
MLP:
num_layers: 3
hidden_dim: 512
learning_rate: 0.01
dropout_ratio: 0
weight_decay: 0
norm_type: batch
batch_size: 6754
house_class:
MLP:
num_layers: 3
hidden_dim: 512
learning_rate: 0.01
dropout_ratio: 0
weight_decay: 0
norm_type: layer
batch_size: 2580