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config_ada-gad.yml
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config_ada-gad.yml
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inj_cora:
lr: 0.001
lr_f: 0.001
num_heads: 1
weight_decay: 2e-4
max_epoch: 20
max_epoch_f: 20
num_layers: 2
activation: relu
in_drop: 0.2
attn_drop: 0.1
optimizer: adam
alpha_l: 3
scheduler: True
mask_rate1: 0.01
drop_edge_rate1: 0
drop_path_rate1: 0
drop_path_length1: 3
mask_rate2: 0
drop_edge_rate2: 0.01
drop_path_rate2: 0.01
drop_path_length2: 3
attr_pretrain_uncertainty_rate: 0
struct_pretrain_uncertainty_rate: 0
attr_remask_uncertainty_rate: 0
struct_remask_uncertainty_rate: 0
max_pu_epoch: 45
each_pu_epoch: 15
dropout_f: 0
attr_encoder: "gcn"
struct_encoder: "gcn"
topology_encoder: "gcn"
attr_decoder: "gcn"
struct_decoder: "gcn"
node_encoder_num_layers: 1
edge_encoder_num_layers: 1
subgraph_encoder_num_layers: 1
attr_decoder_num_layers: 1
struct_decoder_num_layers: 1
num_hidden: 32
predict_all_edge2: 0
predict_all_edge3: 0
loss_weight_f: 0
alpha_f: "None"
replace_rate: 0
# Configuration Added Below
model_name: "ADANET"
loss_f: "add_log_t_entropy"
attention: 2
T_f: 2
use_encoder_num: 3
predict_all_edge2: 0
predict_all_edge3: 0
loss_weight_f: 0
mask_rate1: 0.01
drop_edge_rate2: 0.01
drop_path_rate3: 0.01
alpha_f: None
replace_rate: 0
num_hidden: 60
inj_amazon:
lr: 0.001
lr_f: 0.01
num_heads: 1
weight_decay: 2e-4
max_epoch: 20
max_epoch_f: 20
num_layers: 2
activation: relu
in_drop: 0.2
attn_drop: 0.1
optimizer: adam
alpha_l: 3
scheduler: True
mask_rate1: 0.01
drop_edge_rate1: 0
drop_path_rate1: 0
drop_path_length1: 3
predict_all_node1: False
mask_rate2: 0
drop_edge_rate2: 0.01
drop_path_rate2: 0.01
predict_all_node2: False
drop_path_length2: 3
attr_pretrain_uncertainty_rate: 0
struct_pretrain_uncertainty_rate: 0
attr_remask_uncertainty_rate: 0
struct_remask_uncertainty_rate: 0
max_pu_epoch: 45
each_pu_epoch: 15
dropout_f: 0
attr_encoder: "gcn"
struct_encoder: "gcn"
topology_encoder: "gcn"
attr_decoder: "gcn"
struct_decoder: "gcn"
node_encoder_num_layers: 1
edge_encoder_num_layers: 1
subgraph_encoder_num_layers: 1
attr_decoder_num_layers: 1
struct_decoder_num_layers: 1
num_hidden: 32
predict_all_edge2: 0
predict_all_edge3: 0.05
loss_weight_f: -0.01
alpha_f: "None"
replace_rate: 0.4
# Configuration Added Below for inj_amazon
model_name: "ADANET"
loss_f: "add_log_t_entropy"
attention: 2
T_f: 2
use_encoder_num: 3
predict_all_edge3: 0.05
weibo:
lr: 0.001
lr_f: 0.01
num_heads: 1
weight_decay: 2e-4
max_epoch: 20
max_epoch_f: 20
num_layers: 2
activation: relu
in_drop: 0.2
attn_drop: 0.1
optimizer: adam
alpha_l: 3
scheduler: True
mask_rate1: 0.01
drop_edge_rate1: 0
drop_path_rate1: 0
drop_path_length1: 3
predict_all_node1: False
mask_rate2: 0
predict_all_node2: False
drop_path_length2: 3
attr_pretrain_uncertainty_rate: 0
struct_pretrain_uncertainty_rate: 0
attr_remask_uncertainty_rate: 0
struct_remask_uncertainty_rate: 0
max_pu_epoch: 45
each_pu_epoch: 15
dropout_f: 0
attr_encoder: "gat"
struct_encoder: "gat"
topology_encoder: "gat"
attr_decoder: "gcn"
struct_decoder: "gcn"
node_encoder_num_layers: 1
edge_encoder_num_layers: 1
subgraph_encoder_num_layers: 1
attr_decoder_num_layers: 1
struct_decoder_num_layers: 1
num_hidden: 48
predict_all_edge2: 0
predict_all_edge3: 0.1
loss_weight_f: -0.001
alpha_f: 0.9938
replace_rate: 0.5
# Configuration Added Below for weibo
model_name: "ADANET"
loss_f: "add_log_t_entropy"
attention: 2
T_f: 2
use_encoder_num: 3
predict_all_edge2: 0
predict_all_edge3: 0.1
loss_weight_f: -0.1
mask_rate1: 0.01
drop_edge_rate2: 0.01
drop_path_rate3: 0.01
alpha_f: None
replace_rate: 0.8
reddit:
lr: 0.001
lr_f: 0.001
num_heads: 1
weight_decay: 2e-4
max_epoch: 20
max_epoch_f: 20
num_layers: 2
activation: relu
in_drop: 0.2
attn_drop: 0.1
optimizer: adam
alpha_l: 3
scheduler: True
mask_rate1: 0.01
drop_edge_rate1: 0
drop_path_rate1: 0
drop_path_length1: 3
predict_all_node1: False
mask_rate2: 0
predict_all_node2: False
drop_path_length2: 3
attr_pretrain_uncertainty_rate: 0
struct_pretrain_uncertainty_rate: 0
attr_remask_uncertainty_rate: 0
struct_remask_uncertainty_rate: 0
max_pu_epoch: 45
each_pu_epoch: 15
dropout_f: 0
attr_encoder: "gcn"
struct_encoder: "gcn"
topology_encoder: "gcn"
attr_decoder: "gcn"
struct_decoder: "gcn"
node_encoder_num_layers: 1
edge_encoder_num_layers: 1
subgraph_encoder_num_layers: 1
attr_decoder_num_layers: 1
struct_decoder_num_layers: 1
num_hidden: 32
predict_all_edge2: 0
predict_all_edge3: 0
loss_weight_f: -0.01
alpha_f: 0.5
replace_rate: 0
# Configuration Added Below for reddit
model_name: "ADANET"
loss_f: "add_log_t_entropy"
attention: 2
T_f: 2
use_encoder_num: 3
predict_all_edge2: 0.1
predict_all_edge3: 0
loss_weight_f: -1
mask_rate1: 0.01
drop_edge_rate2: 0.01
drop_path_rate3: 0.01
alpha_f: 0.9
replace_rate: 0.5
disney:
lr: 0.001
lr_f: 0.01
num_heads: 1
weight_decay: 2e-4
max_epoch: 20
max_epoch_f: 20
num_layers: 2
activation: relu
in_drop: 0.2
attn_drop: 0.1
optimizer: adam
alpha_l: 3
scheduler: True
mask_rate1: 0.01
drop_edge_rate1: 0
drop_path_rate1: 0
drop_path_length1: 3
mask_rate2: 0
drop_edge_rate2: 0.01
drop_path_rate2: 0.01
drop_path_length2: 3
attr_pretrain_uncertainty_rate: 0
struct_pretrain_uncertainty_rate: 0
attr_remask_uncertainty_rate: 0
struct_remask_uncertainty_rate: 0
max_pu_epoch: 45
each_pu_epoch: 15
dropout_f: 0
aggr_f: "min"
attr_encoder: "gcn"
struct_encoder: "gcn"
topology_encoder: "gcn"
attr_decoder: "gcn"
struct_decoder: "gcn"
node_encoder_num_layers: 2
edge_encoder_num_layers: 2
subgraph_encoder_num_layers: 2
attr_decoder_num_layers: 1
struct_decoder_num_layers: 1
num_hidden: 8
predict_all_edge2: 0.1
predict_all_edge3: 0.1
loss_weight_f: -0.01
alpha_f: 0.9
replace_rate: 0.3
# Configuration Added Below for disney
model_name: "ADANET"
loss_f: "add_log_t_entropy"
attention: 2
T_f: 2
use_encoder_num: 3
predict_all_edge2: 0
predict_all_edge3: 0
loss_weight_f: -0.01
mask_rate1: 0.01
drop_edge_rate2: 0.01
drop_path_rate3: 0.01
alpha_f: 0.7
replace_rate: 0
books:
lr: 0.001
lr_f: 0.01
num_heads: 1
weight_decay: 2e-4
max_epoch: 20
max_epoch_f: 20
num_layers: 2
activation: relu
in_drop: 0.2
attn_drop: 0.1
optimizer: adam
alpha_l: 3
scheduler: True
mask_rate1: 0.01
drop_edge_rate1: 0
drop_path_rate1: 0
drop_path_length1: 3
mask_rate2: 0
drop_edge_rate2: 0.01
drop_path_rate2: 0.01
drop_path_length2: 3
attr_pretrain_uncertainty_rate: 0
struct_pretrain_uncertainty_rate: 0
attr_remask_uncertainty_rate: 0
struct_remask_uncertainty_rate: 0
max_pu_epoch: 45
each_pu_epoch: 15
dropout_f: 0
aggr_f: "min"
attr_encoder: "gcn"
struct_encoder: "gcn"
topology_encoder: "gcn"
attr_decoder: "gcn"
struct_decoder: "gcn"
node_encoder_num_layers: 2
edge_encoder_num_layers: 2
subgraph_encoder_num_layers: 2
attr_decoder_num_layers: 1
struct_decoder_num_layers: 1
num_hidden: 12
predict_all_edge2: 0
predict_all_edge3: 0
loss_weight_f: -0.01
alpha_f: 0.7
replace_rate: 0
# Configuration Added Below for books
model_name: "ADANET"
loss_f: "add_log_t_entropy"
attention: 2
T_f: 2
use_encoder_num: 3
predict_all_edge2: 0.1
predict_all_edge3: 0.1
loss_weight_f: -1
mask_rate1: 0.01
drop_edge_rate2: 0.01
drop_path_rate3: 0.01
alpha_f: 0.9
replace_rate: 0.3
enron:
lr: 0.001
lr_f: 0.001
num_heads: 1
weight_decay: 2e-4
max_epoch: 20
max_epoch_f: 20
num_layers: 2
activation: relu
in_drop: 0.2
attn_drop: 0.1
optimizer: adam
alpha_l: 3
scheduler: True
mask_rate1: 0.01
drop_edge_rate1: 0
drop_path_rate1: 0
drop_path_length1: 3
mask_rate2: 0
drop_edge_rate2: 0.01
drop_path_rate2: 0.01
drop_path_length2: 3
attr_pretrain_uncertainty_rate: 0
struct_pretrain_uncertainty_rate: 0
attr_remask_uncertainty_rate: 0
struct_remask_uncertainty_rate: 0
max_pu_epoch: 45
each_pu_epoch: 15
dropout_f: 0
attr_encoder: "gat"
struct_encoder: "gat"
topology_encoder: "gat"
attr_decoder: "gcn"
struct_decoder: "gcn"
node_encoder_num_layers: 2
edge_encoder_num_layers: 2
subgraph_encoder_num_layers: 2
attr_decoder_num_layers: 1
struct_decoder_num_layers: 1
num_hidden: 32
predict_all_edge2: 0.1
predict_all_edge3: 0.1
loss_weight_f: -0.001
alpha_f: 0.7
replace_rate: 0
# Configuration Added Below for enron
model_name: "ADANET"
loss_f: "add_log_t_entropy"
attention: 2
T_f: 2
use_encoder_num: 3
predict_all_edge2: 0.1
predict_all_edge3: 0.1
loss_weight_f: 0
mask_rate1: 0.01
drop_edge_rate2: 0.01
drop_path_rate3: 0.01
alpha_f: 0.7
replace_rate: 0
num_hidden: 32