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Graph feature imputation on Amacomp (test)

0.393RMSEOURS
0.385080.438540.4920.54546Oct 29, 2021

Evaluation results

MethodLinks
OURSEncoder=GCN, Decoder=GDN2021.100.393
GDNDim of the first layer=256, Dim of the second layer=128, Learning rate=0.005, Epochs=100, DropEdge rate=12021.100.393
GRAPE2021.100.402
GC-MC2021.100.405
Inverse decoderEncoder=GCN2021.100.407
GCN decoderEncoder=GCN2021.100.409
GALAEncoder=GCN2021.100.411
GAIN2021.100.416
MEAN2021.100.417
SVD2021.100.417
GraphRec2021.100.417
KNNk=52021.100.422
MICE2021.100.487
sRGCNN2021.100.591