Graph feature imputation on Amacomp (test)
0.393RMSEOURS
Evaluation Results
| Method | Links | |
|---|---|---|
| OURSEncoder=GCN, Decoder=GDN2021.10 | 0.393 | |
| GDNDim of the first layer=256, Dim of the second layer=128, Learning rate=0.005, Epochs=100, DropEdge rate=12021.10 | 0.393 | |
| GRAPE2021.10 | 0.402 | |
| GC-MC2021.10 | 0.405 | |
| Inverse decoderEncoder=GCN2021.10 | 0.407 | |
| GCN decoderEncoder=GCN2021.10 | 0.409 | |
| GALAEncoder=GCN2021.10 | 0.411 | |
| GAIN2021.10 | 0.416 | |
| MEAN2021.10 | 0.417 | |
| SVD2021.10 | 0.417 | |
| GraphRec2021.10 | 0.417 | |
| KNNk=52021.10 | 0.422 | |
| MICE2021.10 | 0.487 | |
| sRGCNN2021.10 | 0.591 |