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Graph feature imputation on Douban (test)
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0.734
RMSE
OURS
0.72936
0.76068
0.792
0.82332
Oct 29, 2021
RMSE
Updated 4d ago
Evaluation Results
Method
Method
Links
RMSE
OURS
Encoder=GCN, Decoder=GDN
2021.10
0.734
GC-MC
2021.10
0.734
GDN
Dim of the first layer...
2021.10
0.734
GRAPE
2021.10
0.742
GraphRec
2021.10
0.754
sRGCNN
2021.10
0.801
GAIN
2021.10
0.809
Inverse decoder
Encoder=GCN
2021.10
0.812
KNN
k=5
2021.10
0.817
GCN decoder
Encoder=GCN
2021.10
0.826
SVD
2021.10
0.833
GALA
Encoder=GCN
2021.10
0.833
MEAN
2021.10
0.85
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