Graph feature imputation on Douban (test)
0.734RMSEOURS
Evaluation Results
| Method | Links | |
|---|---|---|
| OURSEncoder=GCN, Decoder=GDN2021.10 | 0.734 | |
| GC-MC2021.10 | 0.734 | |
| GDNDim of the first layer=256, Dim of the second layer=128, Learning rate=0.005, Epochs=200, DropEdge rate=0.52021.10 | 0.734 | |
| GRAPE2021.10 | 0.742 | |
| GraphRec2021.10 | 0.754 | |
| sRGCNN2021.10 | 0.801 | |
| GAIN2021.10 | 0.809 | |
| Inverse decoderEncoder=GCN2021.10 | 0.812 | |
| KNNk=52021.10 | 0.817 | |
| GCN decoderEncoder=GCN2021.10 | 0.826 | |
| SVD2021.10 | 0.833 | |
| GALAEncoder=GCN2021.10 | 0.833 | |
| MEAN2021.10 | 0.85 |