Graph feature imputation on Cora (test)
0.415RMSEOURS
Evaluation Results
| Method | Links | |
|---|---|---|
| OURSEncoder=GCN, Decoder=GDN2021.10 | 0.415 | |
| GDNDim of the first layer=512, Dim of the second layer=64, Learning rate=0.002, Epochs=200, DropEdge rate=0.52021.10 | 0.415 | |
| GRAPE2021.10 | 0.43 | |
| GAIN2021.10 | 0.433 | |
| GC-MC2021.10 | 0.434 | |
| GraphRec2021.10 | 0.437 | |
| GCN decoderEncoder=GCN2021.10 | 0.439 | |
| Inverse decoderEncoder=GCN2021.10 | 0.447 | |
| GALAEncoder=GCN2021.10 | 0.457 | |
| KNNk=52021.10 | 0.459 | |
| MICE2021.10 | 0.48 | |
| SVD2021.10 | 0.493 | |
| MEAN2021.10 | 0.503 | |
| sRGCNN2021.10 | 0.55 |