Node Classification On Citeseer 60 20 20
المقاييس
1:1 Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
جدول المقارنة
| اسم النموذج | 1:1 Accuracy |
|---|---|
| break-the-ceiling-stronger-multi-scale-deep | 81.53 ± 1.71 |
| inductive-representation-learning-on-large | 78.24 ± 0.30 |
| beyond-low-frequency-information-in-graph | 82.37 ± 1.46 |
| predict-then-propagate-graph-neural-networks | 68.59 ± 0.30 |
| simple-and-deep-graph-convolutional-networks-1 | 81.58 ± 1.3 |
| gnndld-graph-neural-network-with-directional | 86.3±1.24 |
| revisiting-heterophily-for-graph-neural | 81.32 ± 0.97 |
| bernnet-learning-arbitrary-graph-spectral | 80.09 ± 0.79 |
| joint-adaptive-feature-smoothing-and-topology | 67.63 ± 0.38 |
| revisiting-heterophily-for-graph-neural | 80.96 ± 0.93 |
| revisiting-heterophily-for-graph-neural | 81.76 ± 1.25 |
| revisiting-heterophily-for-graph-neural | 76.25 ± 0.28 |
| revisiting-heterophily-for-graph-neural | 81.69 ± 1.25 |
| simplifying-graph-convolutional-networks | 80.75 ± 1.15 |
| revisiting-heterophily-for-graph-neural | 82.28 ± 1.12 |
| revisiting-heterophily-for-graph-neural | 81.83 ± 1.65 |
| beyond-low-frequency-information-in-graph | 79.97 ± 0.69 |
| geom-gcn-geometric-graph-convolutional-1 | 77.99 |
| revisiting-heterophily-for-graph-neural | 80.93 ± 1.16 |
| revisiting-heterophily-for-graph-neural | 81.87 ± 1.38 |
| simplifying-graph-convolutional-networks | 79.66 ± 0.75 |
| graph-attention-networks | 67.20 ± 0.46 |
| mixhop-higher-order-graph-convolution | 49.52 ± 13.35 |
| semi-supervised-classification-with-graph | 81.39 ± 1.23 |
| revisiting-heterophily-for-graph-neural | 81.79 ± 0.95 |
| revisiting-heterophily-for-graph-neural | 82.07 ± 1.04 |
| revisiting-heterophily-for-graph-neural | 74.49 ± 2.76 |
| simple-and-deep-graph-convolutional-networks-1 | 81.83 ± 1.78 |
| break-the-ceiling-stronger-multi-scale-deep | 80.93 ± 1.32 |
| revisiting-heterophily-for-graph-neural | 73.77 ± 1.85 |
| revisiting-heterophily-for-graph-neural | 81.56 ± 1.15 |
| revisiting-heterophily-for-graph-neural | 81.58 ± 1.23 |
| revisiting-heterophily-for-graph-neural | 81.65 ± 1.48 |