Graph Classification On Reddit B
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| graph-learning-with-1d-convolutions-on-random | 93.15 |
| wasserstein-embedding-for-graph-learning | 92 |
| towards-a-practical-k-dimensional-weisfeiler | 89.0 |
| improving-attention-mechanism-in-graph-neural | 92.57 |
| hierarchical-representation-learning-in-graph | 84.3 |
| graph-level-representation-learning-with | 56.73 |
| how-powerful-are-graph-neural-networks | 92.4 |
| rep-the-set-neural-networks-for-learning-set | 80.3 |
| a-novel-higher-order-weisfeiler-lehman-graph | 89.4 |
| a-fair-comparison-of-graph-neural-networks-1 | 84.3 |
| fast-graph-representation-learning-with | 92.1 |