Node Classification On Amz Photo
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | Accuracy |
|---|---|
| graph-less-neural-networks-teaching-old-mlps-1 | 92.11± 1.08% |
| half-hop-a-graph-upsampling-approach-for | 95.03% |
| half-hop-a-graph-upsampling-approach-for | 94.55% |
| clarify-confused-nodes-through-separated | 95.93 ± 0.36 |
| half-hop-a-graph-upsampling-approach-for | 94.52% |
| mitigating-degree-biases-in-message-passing | 95.73±0.84 |
| graph-infoclust-leveraging-cluster-level-node | 90.4 ± 1.0 |
| diffusion-improves-graph-learning-1 | 92.93% |
| exphormer-sparse-transformers-for-graphs | 95.35±0.22% |
| sign-scalable-inception-graph-neural-networks | 91.72 ± 1.20 |
| clarify-confused-nodes-through-separated | 95.45 ± 0.45 |
| towards-deeper-graph-neural-networks | 92% |
| half-hop-a-graph-upsampling-approach-for | 93.59% |
| extract-the-knowledge-of-graph-neural | 94.10% |