Node Classification on ogbn-products transductive (test)
84.28AccuracySAGN
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| SAGNLabel-Enhancement (SLE) stages=22021.04 | 84.28 | — | — | |
| MLP+C&S2021.04 | 84.18 | — | — | |
| SAGNLabel-Enhancement (SLE) stages=12021.04 | 84.18 | — | — | |
| SAGNLabel-Enhancement (SLE) stages=02021.04 | 83.29 | — | — | |
| UniMP2021.04 | 82.56 | — | — | |
| SAGNSelf-Enhancement stages=22021.04 | 82.5 | — | — | |
| SAGNSelf-Enhancement stages=12021.04 | 82.23 | — | — | |
| SAGN2021.04 | 81.2 | — | — | |
| SIGN2021.04 | 80.52 | — | — | |
| GraphSaint2021.04 | 80.27 | — | — | |
| ClusterGCN2021.04 | 78.97 | — | — | |
| NeighborSampling2021.04 | 78.7 | — | — | |
| SAGESetting=transductive2021.10 | 78.61 | — | — | |
| GraphSAGE2021.04 | 78.5 | — | — | |
| GCN2021.04 | 75.64 | — | — | |
| Node2Vec2021.04 | 72.49 | — | — | |
| GLNNSetting=transductive2021.10 | 68.86 | 6.39 | -9.75 | |
| MLPSetting=transductive2021.10 | 62.47 | — | — | |
| MLP2021.04 | 61.06 | — | — |