Node Classification On Pattern
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| exphormer-sparse-transformers-for-graphs | 86.74 |
| learning-long-range-dependencies-on-graphs | 86.977 ± 0.012 |
| graph-inductive-biases-in-transformers | 87.196 |
| graph-transformers-without-positional | 86.738 |
| graph-propagation-transformer-for-graph | 86.734±0.008 |
| unlocking-the-potential-of-classic-gnns-for | 87.029 ± 0.037 |
| benchmarking-graph-neural-networks | 86.508 |
| edge-augmented-graph-transformers-global-self | 86.821 |
| ckgconv-general-graph-convolution-with | 88.661 |
| topology-informed-graph-transformer | 86.680 |
| recipe-for-a-general-powerful-scalable-graph | 86.685 |