Node Classification on IEEE 118-Bus
82.8AccuracyTRI-GNNA
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TRI-GNNAfiltration function=node attributes2021.10 | 82.8 | 1.64 | |
| TRI-GNNDfiltration function=node degree2021.10 | 82.67 | 2.08 | |
| PEGN-RC2021.10 | 82.3 | 1.9 | |
| LFGCN2021.10 | 82.2 | 2.3 | |
| VPN2021.10 | 82.19 | 2.2 | |
| APPNP2021.10 | 82.05 | 2.24 | |
| RGCN2021.10 | 81.8 | 1.79 | |
| MixHop2021.10 | 80.05 | 2.5 | |
| GMNN2021.10 | 78.88 | 2.5 | |
| SPAGAN2021.10 | 78.55 | 2.25 | |
| LGCNS2021.10 | 71.43 | 2.2 | |
| ARMA2021.10 | 70.55 | 2.23 | |
| GAT2021.10 | 70.23 | 1.8 | |
| MotifNet2021.10 | 65.75 | 0.77 | |
| ChebNet2021.10 | 60 | 3.11 | |
| GCN2021.10 | 52.86 | 0.78 |