-
Notifications
You must be signed in to change notification settings - Fork 4
/
corafull.log
137 lines (136 loc) · 5.37 KB
/
corafull.log
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
/home/allenhaozhu/anaconda3/bin/python /home/allenhaozhu/Downloads/COLES-Neurips2021/train_ssgc_corafull.py
tensor(0.6889, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(0.5453, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(0.2742, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(0.0591, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(0.0057, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(0.0004, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(2.4263e-05, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(1.5054e-06, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(9.8937e-08, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(7.1318e-09, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(5.7589e-10, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(5.2731e-11, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(5.5084e-12, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(6.5782e-13, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(8.9729e-14, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(1.3941e-14, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(2.4572e-15, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(4.8882e-16, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(1.0915e-16, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(2.7193e-17, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(7.5140e-18, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(2.2887e-18, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(7.6384e-19, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(2.7768e-19, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(1.0933e-19, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(4.6371e-20, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(2.1074e-20, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(1.0212e-20, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(5.2514e-21, device='cuda:0', grad_fn=<SoftplusBackward>)
tensor(2.8531e-21, device='cuda:0', grad_fn=<SoftplusBackward>)
Test Accuracy: 0.6125967628430683
Test Accuracy: 0.61963406052076
Test Accuracy: 0.6156462585034014
Test Accuracy: 0.6137110016420362
Test Accuracy: 0.615998123387286
Test Accuracy: 0.615470326061459
Test Accuracy: 0.6191649073422473
Test Accuracy: 0.6209828759089843
Test Accuracy: 0.6216279615294393
Test Accuracy: 0.6131832043162092
Test Accuracy: 0.6236805066854328
Test Accuracy: 0.6205137227304715
Test Accuracy: 0.6236218625381187
Test Accuracy: 0.61118930330753
Test Accuracy: 0.6219798264133239
Test Accuracy: 0.6204550785831574
Test Accuracy: 0.6160567675346
Test Accuracy: 0.6145320197044335
Test Accuracy: 0.605266244428806
Test Accuracy: 0.6158808350926578
Test Accuracy: 0.6125967628430683
Test Accuracy: 0.6085503166783955
Test Accuracy: 0.6214520290874971
Test Accuracy: 0.6212760966455547
Test Accuracy: 0.6147665962936899
Test Accuracy: 0.6138869340839784
Test Accuracy: 0.6257330518414262
Test Accuracy: 0.6237391508327469
Test Accuracy: 0.6218625381186957
Test Accuracy: 0.6072601454374853
Test Accuracy: 0.6056181093126906
Test Accuracy: 0.62678864649308
Test Accuracy: 0.6266713581984518
Test Accuracy: 0.6151771053248886
Test Accuracy: 0.6123035421064977
Test Accuracy: 0.618461177574478
Test Accuracy: 0.6189303307529909
Test Accuracy: 0.6164086324184846
Test Accuracy: 0.6191649073422473
Test Accuracy: 0.6189889749003049
Test Accuracy: 0.6242083040112597
Test Accuracy: 0.6195167722261319
Test Accuracy: 0.6237391508327469
Test Accuracy: 0.6203964344358434
Test Accuracy: 0.6224489795918368
Test Accuracy: 0.6171123621862538
Test Accuracy: 0.6223903354445226
Test Accuracy: 0.6158221909453436
Test Accuracy: 0.6193408397841895
Test Accuracy: 0.6207482993197279
61.793103448275865
0.5119710774283044
Test Accuracy: 0.5161290322580645
Test Accuracy: 0.5240364474235442
Test Accuracy: 0.5287494763301215
Test Accuracy: 0.48570381231671556
Test Accuracy: 0.5096355257645581
Test Accuracy: 0.532677000418936
Test Accuracy: 0.5080645161290323
Test Accuracy: 0.4799434436531211
Test Accuracy: 0.4868035190615836
Test Accuracy: 0.49518223711772097
Test Accuracy: 0.5068600754084625
Test Accuracy: 0.512253875157101
Test Accuracy: 0.5197947214076246
Test Accuracy: 0.5143485546711353
Test Accuracy: 0.5372852953498115
Test Accuracy: 0.5093736908253037
Test Accuracy: 0.5023565144532887
Test Accuracy: 0.4805718475073314
Test Accuracy: 0.5295873481357353
Test Accuracy: 0.5128822790113112
Test Accuracy: 0.5204754922496858
Test Accuracy: 0.5057080016757436
Test Accuracy: 0.5011520737327189
Test Accuracy: 0.4909405111018014
Test Accuracy: 0.507436112274822
Test Accuracy: 0.5302157519899455
Test Accuracy: 0.5166527021365731
Test Accuracy: 0.4884268956849602
Test Accuracy: 0.495548806032677
Test Accuracy: 0.5100544616673649
Test Accuracy: 0.49204021784666946
Test Accuracy: 0.520370758273984
Test Accuracy: 0.5041893590280687
Test Accuracy: 0.49240678676162547
Test Accuracy: 0.49858609132802684
Test Accuracy: 0.48512777545035607
Test Accuracy: 0.5149769585253456
Test Accuracy: 0.4979576874738165
Test Accuracy: 0.5095831587767071
Test Accuracy: 0.5086405529953917
Test Accuracy: 0.4975911185588605
Test Accuracy: 0.5124109761206536
Test Accuracy: 0.4957059069962296
Test Accuracy: 0.521156263091747
Test Accuracy: 0.5167574361122749
Test Accuracy: 0.4925115207373272
Test Accuracy: 0.50670297444491
Test Accuracy: 0.5293778801843319
Test Accuracy: 0.5136677838290742
Test Accuracy: 0.5260787599497276
50.78937997486385
1.4297460585608046
Process finished with exit code 0