Node Classification on ogbn-products official (test)
85.47Average AccuracyGIANT-XRT
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GIANT-XRTFramework=X_GIANT, Downstream Model=SAGN+SLE2021.10 | 85.47 | — | |
| GIANT-XRTFramework=X_GIANT, Downstream Model=GraphSAINT2021.10 | 84.4 | — | |
| OGB-featFramework=X_plain, Downstream Model=SAGN+SLE2021.10 | 84.28 | — | |
| TRI-GNND2021.10 | 84 | 0.007 | |
| APPNP2021.10 | 83.17 | 0.006 | |
| BERT* + DGIFramework=X_SSLGNN, Downstream Model=SAGN+SLE2021.10 | 83.11 | — | |
| DeeperGCN + FLAGBackbone=DeeperGCN, FLAG Augmentation=true2020.10 | 81.93 | — | |
| GAT + FLAGBackbone=GAT, FLAG Augmentation=true2020.10 | 81.76 | — | |
| RGCN2021.10 | 81.35 | 0.005 | |
| BERT* + DGIFramework=X_SSLGNN, Downstream Model=GraphSAINT2021.10 | 81.29 | — | |
| DeeperGCNBackbone=DeeperGCN, FLAG Augmentation=false2020.10 | 80.98 | — | |
| GAT2021.10 | 80.02 | 0.001 | |
| GIANT-XRTFramework=X_GIANT, Downstream Model=MLP2021.10 | 79.82 | — | |
| GATBackbone=GAT, FLAG Augmentation=false2020.10 | 79.45 | — | |
| GraphSAGE + FLAGBackbone=GraphSAGE, FLAG Augmentation=true2020.10 | 79.36 | — | |
| OGB-featFramework=X_plain, Downstream Model=GraphSAINT2021.10 | 79.08 | — | |
| GCN2021.10 | 78.87 | 0.003 | |
| GraphSAGEBackbone=GraphSAGE, FLAG Augmentation=false2020.10 | 78.7 | — | |
| BERT* + DGIFramework=X_SSLGNN, Downstream Model=MLP2021.10 | 73.62 | — | |
| OGB-featFramework=X_plain, Downstream Model=MLP2021.10 | 61.06 | — |