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Amazon Photo

Benchmarks

Task NameDataset NameSOTA ResultTrend
Node ClassificationAmazon Photo (test)
Accuracy96.54
112
Node ClassificationAmazon Photo Standard (test)
Accuracy91.64
18
Node ClassificationAmazon-Photo 20 clients partition
Accuracy94.51
15
Node ClassificationAmazon-Photo 10 clients partition
Accuracy94.75
15
Node ClassificationAmazon-Photo 5 clients partition
Accuracy93.98
15
Node ClassificationAmazon Photo (transductive)
Accuracy92.8
15
Node ClassificationAmazon Photo (Rest nodes)
Accuracy92
11
Node ClassificationAmazon Photo (random 60/20/20 split)
Accuracy (%)94.7
10
Node ClassificationAmazon Photo 50% Feat. noise
Accuracy94.2
10
Node ClassificationAmazon Photo 50% Feat. mask
Accuracy91.9
10
Node ClassificationAmazon Photo (50% Edge drop)
Accuracy94
10
Node ClassificationAmazon Photo (Clean)
Accuracy (%)94.4
10
Node classificationAmazon Photo 20% Uniform Noise (test)
Accuracy87.3
10
Node ClassificationAmazon Photo semi-supervised (test)
Accuracy92.16
10
Node ClassificationAmazon Photo (dense)
Mean Accuracy91.93
9
Node ClassificationAmazon Photo tail nodes
Accuracy89.28
8
Node ClassificationAmazon Photo head nodes
Accuracy95.28
8
Node ClassificationAmazon Photo (train)
Accuracy99.9
8
Node ClassificationAmazon Photo semi-supervised inductive
Accuracy0.9056
7
Node ClassificationAmazon Photo semi-supervised transductive
Accuracy90.54
7
Node ClassificationAmazon Photo full-supervised transductive
Accuracy94.36
7
Node ClassificationAmazon Photo (inductive)
Accuracy91.5
3
Node ClassificationAmazon Photo (production)
Accuracy92.38
3
Node ClassificationAmazon-Photo 2-class (modified)
Accuracy84.37
2
Node ClassificationAmazon-Photo 8-class (original)
Accuracy58.85
2
Showing 25 of 27 rows