Transductive Node Classification on Cora 20 labels per class benchmark leaderboard · SOTA2 Research

Transductive Node Classification on Cora 20 labels per class

81.5Mean AccuracyCOLES-S^2GC

Evaluation Results

Method	Links
COLES-S^2GC2022.01		81.5	1.2
S^2GC2022.01		81.3	1.2
PCA-S^2GC2022.01		81.2	1.3
COLES-GCN (Stiefel)2022.01		81	1.3
COLES-GCN (+Aug)2022.01		81	1.3
COLES-GCN2022.01		80.8	1.3
SCE2022.01		80.2	1.1
MixHop2022.01		80	1.4
GAT2022.01		79.6	1.5
GCN2022.01		79.4	1.6
GraphCL2022.01		78.3	1.7
SGC2022.01		78.3	1.9
DGI2022.01		78.1	1.8
RP-S^2GC2022.01		78.1	1.2
Graph2Gauss2022.01		76.2	1.1
GCA2022.01		75.8	1.9
GCN with SampledNCE2022.01		74.3	1.6
GRACE2022.01		73.9	1.6
SAGE with SampledNCE2022.01		73.8	1.5
DeepWalk2022.01		70.5	1.9
COLES-S^2GC2022.01		61.8	0.5
GCN2022.01		61.5	0.5
MixHop2022.01		61	0.7
SCE2022.01		60.6	0.6
S^2GC2022.01		60	0.5
COLES-GCN (+Aug)2022.01		59.4	0.5
PCA-S^2GC2022.01		59.3	0.6
COLES-GCN (Stiefel)2022.01		59.2	0.5
COLES-GCN2022.01		58.9	0.5
DGI2022.01		58.4	0.6
SGC2022.01		57.7	1.2
GAT2022.01		56.9	0.6
DeepWalk2022.01		51.1	0.7
Graph2Gauss2022.01		49.3	0.5
RP-S^2GC2022.01		48.7	0.6
GCN with SampledNCE2022.01		45.2	0.9
SAGE with SampledNCE2022.01		43.6	0.6