Node Classification On Cora 1
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | Accuracy |
|---|---|
| convolutional-networks-on-graphs-for-learning | 59.6% |
| gated-graph-sequence-neural-networks | 60.5% |
| mutual-teaching-for-graph-convolutional | 73.1% |
| break-the-ceiling-stronger-multi-scale-deep | 74.78% |
| break-the-ceiling-stronger-multi-scale-deep | 73.10% |
| break-the-ceiling-stronger-multi-scale-deep | 74.79% |
| lanczosnet-multi-scale-deep-graph | 67.5 ± 8.7 |
| lanczosnet-multi-scale-deep-graph | 66.1 ± 8.2 |
| extract-the-knowledge-of-graph-neural | 80.24% |
| view-consistent-heterogeneous-network-on | 78.1% |
| convolutional-neural-networks-on-graphs-with | 44.2% |
| break-the-ceiling-stronger-multi-scale-deep | 78.15% |
| graph-attention-networks | 48.6% |
| inductive-representation-learning-on-large | 49.0% |
| diffusion-convolutional-neural-networks | 66.4% |