Node Classification 벤치마크
Node Classification on MAG240M-LSC
Test Accuracy
- 2021-03-17 — R-GraphSAGE (NS): Test Accuracy 68.94
| Rank | Model | Test Accuracy | Validation Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|---|
| 1 | R-GraphSAGE (NS) | 68.94 | – | OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs | dmlc/dgl · snap-stanford/ogb · graphcore/ogb-lsc-pcqm4mv2 · +3 | 2021 |
| 2 | GAT (NS) | 66.63 | – | OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs | dmlc/dgl · snap-stanford/ogb · graphcore/ogb-lsc-pcqm4mv2 · +3 | 2021 |
| 3 | GraphSAGE (NS) | 66.25 | – | OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs | dmlc/dgl · snap-stanford/ogb · graphcore/ogb-lsc-pcqm4mv2 · +3 | 2021 |
| 4 | SIGN | 66.09 | 66.64 | OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs | dmlc/dgl · snap-stanford/ogb · graphcore/ogb-lsc-pcqm4mv2 · +3 | 2021 |