Node Classification On Cornell 48 32 20 Fixed
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| GREAD-F | 85.41 | GREAD: Graph Neural Reaction-Diffusion Networks | |
| GREAD-AC | 87.03 | GREAD: Graph Neural Reaction-Diffusion Networks | |
| GREAD-BS | 86.22 | GREAD: Graph Neural Reaction-Diffusion Networks |
0 of 3 row(s) selected.