Node Classification on Computers-Random (ρ ≈ 17.7) benchmark leaderboard · SOTA2 Research

Node Classification on Computers-Random (ρ ≈ 17.7)

85.32Balanced AccuracyUNREAL

Evaluation Results

Method	Links
UNREAL2023.03		85.32	80.43
UNREAL2023.03		85.32	80.43
BIM2023.03		84.03	77.96
BIM2023.03		84.03	77.96
GSR2023.03		83.82	77.78
GSR2023.03		83.82	77.78
GE(w TAM)2023.03		82.83	76.76
GE2023.03		82.66	76.55
UNREAL2023.03		82.52	78.9
UNREAL2023.03		82.52	78.9
BS(w TAM)2023.03		81.64	75.59
RN2023.03		81.64	76.87
BS2023.03		81.39	74.54
PS2023.03		81.34	75.17
SCR2023.03		80.61	75.18
ConsisGAD2023.03		80.56	75.15
GS2023.03		80.5	73.79
RN(w TAM)2023.03		80.5	75.79
RW2023.03		80.49	75.07
GE(w TAM)2023.03		78.98	73.59
Vanilla2023.03		78.43	77.14
BIM2023.03		77.76	72.09
BIM2023.03		77.76	72.09
GE2023.03		77.64	72.65
GSR2023.03		77.63	72.56
GSR2023.03		77.63	72.56
BIM2023.03		77.01	73.82
BIM2023.03		77.01	73.82
GSR2023.03		76.79	73.61
GSR2023.03		76.79	73.61
UNREAL2023.03		75.81	71.86
GE(w TAM)2023.03		75.81	72.62
UNREAL2023.03		75.81	71.86
GE2023.03		75.25	71.49
BS(w TAM)2023.03		74	70.72
BS2023.03		73.8	69.74
BS(w TAM)2023.03		73.77	71.03
RN2023.03		72.8	71.4
GS2023.03		72.69	68.73
RN(w TAM)2023.03		72.69	70.73
BS2023.03		72.09	68.38
GS2023.03		71.98	67.98
RN(w TAM)2023.03		71.98	70.98
ConsisGAD2023.03		71.97	70.62
RW2023.03		71.95	70.67
SCR2023.03		71.9	70.71
Vanilla2023.03		71.35	69.6
RN2023.03		70.94	70.04
PS2023.03		70.56	67.26
PS2023.03		69.73	67.03
ConsisGAD2023.03		66.54	66.13
RW2023.03		66.5	66.1
SCR2023.03		66.41	66.05
Vanilla2023.03		65.3	64.77