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Benchmarks
Graph Regression on OGBG-PCQM4M v1 (val)
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0.1197
MAE
MPNN + ER
0.119492
0.120896
0.1223
0.123704
Jun 23, 2022
MAE
Updated 4d ago
Evaluation Results
Method
Method
Links
MAE
MPNN + ER
#Layers=32, Noisy Node...
2022.06
0.1197
MPNN + Conformers
#Layers=32, Noisy Node...
2022.06
0.1212
MPNN + ER
#Layers=32, Noisy Node...
2022.06
0.1214
MPNN
#Layers=32, Noisy Node...
2022.06
0.1216
MPNN
#Layers=50, Noisy Node...
2022.06
0.1218
MPNN
#Layers=32, Noisy Node...
2022.06
0.1222
Graphormer
2022.06
0.1234
MPNN
#Layers=50, Noisy Node...
2022.06
0.1236
MPNN
#Layers=32, Noisy Node...
2022.06
0.1237
MPNN
#Layers=16, Noisy Node...
2022.06
0.1249
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