Node Classification 벤치마크
Node Classification on Cornell (48%/32%/20% fixed splits)
Accuracy
- 2022-11-25 — GREAD-AC: Accuracy 87.03
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | GREAD-AC | 87.03 | GREAD: Graph Neural Reaction-Diffusion Networks | jeongwhanchoi/gread | 2022 |
| 2 | GREAD-BS | 86.22 | GREAD: Graph Neural Reaction-Diffusion Networks | jeongwhanchoi/gread | 2022 |
| 3 | GREAD-F | 85.41 | GREAD: Graph Neural Reaction-Diffusion Networks | jeongwhanchoi/gread | 2022 |