-
Notifications
You must be signed in to change notification settings - Fork 6
/
clustering_configs.yml
212 lines (199 loc) · 3.94 KB
/
clustering_configs.yml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
# --------------------- acm ---------------------
acm:
activation: prelu
alpha_l: 1
attn_drop: 0.5
dataset: acm
decoder: han
encoder: han
eva_lr: 0.01
eva_wd: 0.0005
feat_drop: 0.2
feat_mask_rate: 0.5,0.005,0.8
gpu: 0
hidden_dim: 1024
l2_coef: 0
leave_unchanged: 0.3
loss_fn: sce
lr: 0.0008
mae_epochs: 10000
mask_rate: 0.4
mp2vec_feat_alpha_l: 2
mp2vec_feat_drop: 0.2
mp2vec_feat_pred_loss_weight: 0.1
mp_edge_alpha_l: 3
mp_edge_mask_rate: 0.7
mp_edge_recon_loss_weight: 1
mps_batch_size: 256
mps_context_size: 3
mps_embedding_dim: 64
mps_epoch: 20
mps_lr: 0.001
mps_num_negative_samples: 3
mps_walk_length: 10
mps_walks_per_node: 3
n_labels: 3
negative_slope: 0.2
nei_num: 2
norm: batchnorm
num_heads: 4
num_layers: 2
num_out_heads: 1
optimizer: adam
patience: 10
replace_rate: 0.2
residual: false
scheduler: true
scheduler_gamma: 0.999
use_mp2vec_feat_pred: true
use_mp_edge_recon: true
# --------------------- dblp ---------------------
dblp:
activation: prelu
alpha_l: 2
attn_drop: 0.2
dataset: dblp
decoder: han
encoder: han
eva_lr: 0.01
eva_wd: 0.0005
feat_drop: 0.2
feat_mask_rate: 0.5,0.005,0.8
gpu: 0
hidden_dim: 256
l2_coef: 0
leave_unchanged: 0.2
loss_fn: sce
lr: 0.0008
mae_epochs: 10000
mask_rate: 0.5,0.005,0.8
mp2vec_feat_alpha_l: 2
mp2vec_feat_drop: 0.1
mp2vec_feat_pred_loss_weight: 1
mp_edge_alpha_l: 3
mp_edge_mask_rate: 0.8
mp_edge_recon_loss_weight: 0.1
mps_batch_size: 256
mps_context_size: 5
mps_embedding_dim: 256
mps_epoch: 50
mps_lr: 0.005
mps_num_negative_samples: 3
mps_walk_length: 10
mps_walks_per_node: 1
n_labels: 4
negative_slope: 0.2
nei_num: 1
norm: batchnorm
num_heads: 2
num_layers: 3
num_out_heads: 1
optimizer: adam
patience: 20
replace_rate: 0.3
residual: false
scheduler: true
scheduler_gamma: 0.99
seed: 0
use_mp2vec_feat_pred: true
use_mp_edge_recon: true
# --------------------- freebase ---------------------
freebase:
activation: prelu
alpha_l: 1
attn_drop: 0
dataset: freebase
decoder: han
encoder: han
eva_lr: 0.01
eva_wd: 0.0005
feat_drop: 0.5
feat_mask_rate: 0.5,0.005,0.8
gpu: 0
hidden_dim: 1024
l2_coef: 0
leave_unchanged: 0
loss_fn: sce
lr: 0.002
mae_epochs: 10000
mask_rate: 0.5
mp2vec_feat_alpha_l: 2
mp2vec_feat_drop: 0.2
mp2vec_feat_pred_loss_weight: 0.1
mp_edge_alpha_l: 2
mp_edge_mask_rate: 0.4,0.005,0.7
mp_edge_recon_loss_weight: 0.5
mps_batch_size: 256
mps_context_size: 3
mps_embedding_dim: 128
mps_epoch: 50
mps_lr: 0.001
mps_num_negative_samples: 3
mps_walk_length: 10
mps_walks_per_node: 3
n_labels: 3
negative_slope: 0.2
nei_num: 3
norm: batchnorm
num_heads: 4
num_layers: 3
num_out_heads: 1
optimizer: adam
patience: 20
replace_rate: 0.2
residual: false
scheduler: true
scheduler_gamma: 0.999
seed: 0
use_mp2vec_feat_pred: true
use_mp_edge_recon: true
# --------------------- aminer ---------------------
aminer:
activation: prelu
alpha_l: 2
attn_drop: 0.2
dataset: aminer
decoder: han
encoder: han
eva_lr: 0.001
eva_wd: 0.0001
feat_drop: 0.2
feat_mask_rate: 0.5,0.005,0.8
gpu: 0
hidden_dim: 256
l2_coef: 0
leave_unchanged: 0.3
loss_fn: sce
lr: 0.001
mae_epochs: 10000
mask_rate: 0.8
mp2vec_feat_alpha_l: 1
mp2vec_feat_drop: 0.1
mp2vec_feat_pred_loss_weight: 0.1
mp_edge_alpha_l: 3
mp_edge_mask_rate: 0.5,0.005,0.8
mp_edge_recon_loss_weight: 0.1
mps_batch_size: 128
mps_context_size: 3
mps_embedding_dim: 64
mps_epoch: 50
mps_lr: 0.005
mps_num_negative_samples: 3
mps_walk_length: 5
mps_walks_per_node: 1
n_labels: 4
negative_slope: 0.2
nei_num: 2
norm: batchnorm
num_heads: 4
num_layers: 3
num_out_heads: 1
optimizer: adam
patience: 10
replace_rate: 0.2
residual: false
scheduler: true
scheduler_gamma: 0.999
seed: 0
use_mp2vec_feat_pred: true
use_mp_edge_recon: true