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Graph feature imputation on Douban (test)

0.734RMSEOURS
0.729360.760680.7920.82332Oct 29, 2021

Evaluation results

MethodLinks
OURSEncoder=GCN, Decoder=GDN2021.100.734
GC-MC2021.100.734
GDNDim of the first layer=256, Dim of the second layer=128, Learning rate=0.005, Epochs=200, DropEdge rate=0.52021.100.734
GRAPE2021.100.742
GraphRec2021.100.754
sRGCNN2021.100.801
GAIN2021.100.809
Inverse decoderEncoder=GCN2021.100.812
KNNk=52021.100.817
GCN decoderEncoder=GCN2021.100.826
SVD2021.100.833
GALAEncoder=GCN2021.100.833
MEAN2021.100.85