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configs.yml
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cora:
lr: 0.001
lr_f: 0.01
num_hidden: 512
num_heads: 4
num_layers: 2
weight_decay: 2e-4
weight_decay_f: 1e-4
max_epoch: 1500
max_epoch_f: 300
mask_rate: 0.5
num_layers: 2
encoder: gat
decoder: gat
activation: prelu
in_drop: 0.2
attn_drop: 0.1
linear_prob: True
loss_fn: sce
drop_edge_rate: 0.0
optimizer: adam
replace_rate: 0.05
alpha_l: 3
scheduler: True
citeseer:
lr: 0.001
lr_f: 0.01
num_hidden: 512
num_heads: 2
num_layers: 2
weight_decay: 2e-5
weight_decay_f: 0.01
max_epoch: 300
max_epoch_f: 300
mask_rate: 0.5
num_layers: 2
encoder: gat
decoder: gat
activation: prelu
in_drop: 0.2
attn_drop: 0.1
linear_prob: True
loss_fn: sce
drop_edge_rate: 0.0
optimizer: adam
replace_rate: 0.1
alpha_l: 1 # or 3
scheduler: True
pubmed:
lr: 0.001
lr_f: 0.01
num_hidden: 1024
num_heads: 4
num_layers: 2
weight_decay: 1e-5
weight_decay_f: 1e-4
max_epoch: 1000
max_epoch_f: 300
mask_rate: 0.75
num_layers: 2
encoder: gat
decoder: gat
activation: prelu
in_drop: 0.2
attn_drop: 0.1
linear_prob: True
loss_fn: sce
drop_edge_rate: 0.0
optimizer: adam
replace_rate: 0.0
alpha_l: 3
scheduler: True
ogbn-arxiv:
lr: 0.001
lr_f: 0.01
num_hidden: 1024
num_heads: 4
weight_decay: 0
weight_decay_f: 5e-4
max_epoch: 1000
max_epoch_f: 600
mask_rate: 0.5
drop_edge_rate: 0.5
num_layers: 3
encoder: gat
decoder: gat
activation: prelu
in_drop: 0.2
attn_drop: 0.1
linear_prob: True
loss_fn: sce
replace_rate: 0.0
alpha_l: 3 # 2
scheduler: True
norm: layernorm
ppi:
lr: 0.0001 # 1e-4 for hidden=1024/2048, 2e-5 for hidden=8192, 5e-6 for hidden=16384
lr_f: 0.005
num_hidden: 1024
num_heads: 4
weight_decay: 0
weight_decay_f: 0
max_epoch: 1000
max_epoch_f: 2000
mask_rate: 0.5
num_layers: 3
encoder: gat
decoder: gat
activation: prelu
in_drop: 0.2
loss_fn: sce
optimizer: adam
replace_rate: 0.1 # 0.1 for 256*4, else 0.
drop_edge_rate: 0.0
alpha_l: 3
norm: layernorm
residual: True
scheduler: True
linear_prob: True
reddit:
lr: 0.001
lr_f: 0.005
num_hidden: 512
num_heads: 2
weight_decay: 2e-4
weight_decay_f: 0
max_epoch: 500
max_epoch_f: 500
mask_rate: 0.75
num_layers: 4
encoder: gat
decoder: gat
activation: prelu
in_drop: 0.2
loss_fn: sce
optimizer: adam
replace_rate: 0.15
drop_edge_rate: 0.5
alpha_l: 3
norm: layernorm
residual: True
scheduler: True
linear_prob: True
IMDB-BINARY:
lr: 0.00015
lr_f: 0.005
num_hidden: 512
num_heads: 2
weight_decay: 0
weight_decay_f: 0
max_epoch: 60
max_epoch_f: 500
mask_rate: 0.5
num_layers: 2
encoder: gin
decoder: gin
activation: prelu
in_drop: 0.2
loss_fn: sce
optimizer: adam
replace_rate: 0.0
drop_edge_rate: 0.0
alpha_l: 1
norm: batchnorm
residual: False
scheduler: False
linear_prob: True
pooling: mean
batch_size: 32
alpha_l: 1
IMDB-MULTI:
lr: 0.00015
num_hidden: 512
num_heads: 2
weight_decay: 0
max_epoch: 50
mask_rate: 0.5
num_layers: 3
encoder: gin
decoder: gin
activation: prelu
in_drop: 0.2
loss_fn: sce
optimizer: adam
replace_rate: 0.0
drop_edge_rate: 0.0
alpha_l: 1
norm: batchnorm
scheduler: False
linear_prob: True
pooling: mean
batch_size: 32
alpha_l: 1
PROTEINS:
lr: 0.00015
num_hidden: 512
weight_decay: 0
max_epoch: 100
mask_rate: 0.5
num_layers: 3
encoder: gin
decoder: gin
activation: prelu
in_drop: 0.2
loss_fn: sce
optimizer: adam
drop_edge_rate: 0.0
alpha_l: 1
norm: batchnorm
scheduler: False
linear_prob: True
pooling: max
batch_size: 32
norm: batchnorm
alpha_l: 1
MUTAG:
num_hidden: 32
num_layers: 5
lr: 0.0005
weight_decay: 0.00
mask_rate: 0.75
drop_edge_rate: 0.0
max_epoch: 20
encoder: gin
decoder: gin
activation: prelu
loss_fn: sce
scheduler: False
pooling: sum
batch_size: 64
alpha_l: 2
replace_rate: 0.1
norm: batchnorm
in_drop: 0.2
attn_drop: 0.1
alpha_l: 2
REDDIT-BINARY:
lr: 0.00015
weight_decay: 0.0
max_epoch: 100
mask_rate: 0.75
drop_edge_rate: 0.0
num_hidden: 512
num_layers: 2
encoder: gin
decoder: gin
activation: prelu
pooling: sum
scheduler: True
batch_size: 8
replace_rate: 0.1
norm: layernorm
loss_fn: sce
alpha_l: 2
COLLAB:
lr: 0.00015
weight_decay: 0.0
max_epoch: 20
num_layers: 2
num_hidden: 256
mask_rate: 0.75
drop_edge_rate: 0.0
activation: relu
encoder: gin
decoder: gin
scheduler: True
pooling: max
batch_size: 32
loss_fn: sce
norm: batchnorm
alpha_l: 1
NCI1:
lr: 0.001
max_epoch: 300
num_layers: 2
num_hidden: 512
mask_rate: 0.25 # not 0.75
drop_edge_rate: 0.0
activation: prelu
encoder: gin
decoder: gin
scheduler: True
pool: sum
batch_size: 16
alpha_l: 2
replace_rate: 0.1
norm: batchnorm
loss_fn: sce
alpha_l: 2