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Benchmarks
Node Classification on MAG240M OGB-LSC (val)
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70.74
Accuracy
Graphormer + URPE-based Attention
51.9472
56.8261
61.705
66.5839
May 26, 2022
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
Graphormer + URPE-based Attention
Number of Parameters=1...
2022.05
70.74
Graphormer
Number of Parameters=1...
2022.05
70.13
R-GAT
Number of Parameters=1...
2022.05
70.02
R-GraphSAGE
Number of Parameters=1...
2022.05
69.86
GAT
Number of Parameters=4.9M
2022.05
67.15
MLP+C&S
Number of Parameters=0.5M
2022.05
66.98
GraphSAGE
Number of Parameters=4.9M
2022.05
66.79
SIGN
Number of Parameters=3.8M
2022.05
66.64
SGC
Number of Parameters=0.7M
2022.05
65.82
LabelProp
Number of Parameters=0
2022.05
58.44
MLP
Number of Parameters=0.5M
2022.05
52.67
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