Node Classification On Cora 60 20 20 Random

المقاييس

1:1 Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	1:1 Accuracy
joint-adaptive-feature-smoothing-and-topology	79.51 ± 0.36
simple-and-deep-graph-convolutional-networks-1	88.98 ± 1.33
gnndld-graph-neural-network-with-directional	92.99 ±0.9
geom-gcn-geometric-graph-convolutional-1	85.27
revisiting-heterophily-for-graph-neural	89.75 ± 1.16
revisiting-heterophily-for-graph-neural	89.00 ± 1.35
revisiting-heterophily-for-graph-neural	87.64 ± 0.99
bernnet-learning-arbitrary-graph-spectral	88.52 ± 0.95
simplifying-graph-convolutional-networks	85.12 ± 1.64
generalizing-graph-neural-networks-beyond	87.52 ± 0.61
revisiting-heterophily-for-graph-neural	89.33 ± 0.81
revisiting-heterophily-for-graph-neural	76.44 ± 0.30
revisiting-heterophily-for-graph-neural	89.47 ± 1.08
revisiting-heterophily-for-graph-neural	89.36 ± 1.26
007-democratically-finding-the-cause-of	86.90 ± 1.51
revisiting-heterophily-for-graph-neural	89.00 ± 0.72
simple-and-deep-graph-convolutional-networks-1	88.93 ± 1.37
break-the-ceiling-stronger-multi-scale-deep	88.64 ± 1.15
revisiting-heterophily-for-graph-neural	86.63 ± 1.13
break-the-ceiling-stronger-multi-scale-deep	89.33 ± 1.3
revisiting-heterophily-for-graph-neural	89.59 ± 1.58
simplifying-graph-convolutional-networks	85.48 ± 1.48
mixhop-higher-order-graph-convolution	65.65 ± 11.31
revisiting-heterophily-for-graph-neural	89.52 ± 0.43
semi-supervised-classification-with-graph	87.78 ± 0.96
revisiting-heterophily-for-graph-neural	88.83 ± 1.49
revisiting-heterophily-for-graph-neural	89.18 ± 1.11
inductive-representation-learning-on-large	86.58 ± 0.26
revisiting-heterophily-for-graph-neural	88.95 ± 1.04
graph-attention-networks	76.70 ± 0.42
revisiting-heterophily-for-graph-neural	89.1 ± 1.61
predict-then-propagate-graph-neural-networks	79.41 ± 0.38
beyond-low-frequency-information-in-graph	88.85 ± 1.36