Graph feature imputation on Amaphoto (test)
0.391RMSEOURS
Evaluation Results
| Method | Links | |
|---|---|---|
| OURSEncoder=GCN, Decoder=GDN2021.10 | 0.391 | |
| GDNDim of the first layer=256, Dim of the second layer=128, Learning rate=0.005, Epochs=100, DropEdge rate=12021.10 | 0.391 | |
| GRAPE2021.10 | 0.399 | |
| GC-MC2021.10 | 0.402 | |
| Inverse decoderEncoder=GCN2021.10 | 0.409 | |
| GCN decoderEncoder=GCN2021.10 | 0.41 | |
| SVD2021.10 | 0.413 | |
| MEAN2021.10 | 0.414 | |
| GALAEncoder=GCN2021.10 | 0.415 | |
| GraphRec2021.10 | 0.417 | |
| GAIN2021.10 | 0.42 | |
| KNNk=52021.10 | 0.421 | |
| MICE2021.10 | 0.481 | |
| sRGCNN2021.10 | 0.519 |