Node Classification On Non Homophilic 12

المقاييس

1:1 Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	1:1 Accuracy
revisiting-heterophily-for-graph-neural	55.19 ± 1.49
large-scale-learning-on-non-homophilous	61.81 ± 1.80
deformable-graph-convolutional-networks	62.56 ± 1.31
revisiting-heterophily-for-graph-neural	67.06 ± 1.66
addressing-heterophily-in-node-classification	73.56 ± 1.62
scale-invariance-of-graph-neural-networks	76.0±2.0
neural-sheaf-diffusion-a-topological	53.17 ± 1.31
two-sides-of-the-same-coin-heterophily-and	55.17 ± 1.58
breaking-the-limit-of-graph-neural-networks	48.85 ± 0.78
finding-global-homophily-in-graph-neural	57.88 ± 1.76
non-local-graph-neural-networks	33.7 ± 1.5
revisiting-heterophily-for-graph-neural	51.8 ± 1.5
joint-adaptive-feature-smoothing-and-topology	46.31 ± 2.46
simple-and-deep-graph-convolutional-networks-1	38.47 ± 1.58
neural-sheaf-diffusion-a-topological	56.34 ± 1.32
revisiting-heterophily-for-graph-neural	66.98 ± 1.71
non-local-graph-neural-networks	59.0 ± 1.2
finding-global-homophily-in-graph-neural	57.54 ± 1.39
edge-directionality-improves-learning-on	75.31±1.92
revisiting-heterophily-for-graph-neural	40.02 ± 0.96
revisiting-heterophily-for-graph-neural	67.07 ± 1.65
generalizing-graph-neural-networks-beyond	36.48 ± 1.86
geom-gcn-geometric-graph-convolutional-1	38.15 ± 0.92
revisiting-heterophily-for-graph-neural	45.00 ± 1.4
revisiting-heterophily-for-graph-neural	67.4 ± 2.21
beyond-low-frequency-information-in-graph	30.83 ± 0.69
non-local-graph-neural-networks	56.8 ± 2.5
mixhop-higher-order-graph-convolution	43.80 ± 1.48
neural-sheaf-diffusion-a-topological	54.78 ± 1.81