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Benchmarks
Graph Regression on OGB-LSC PCQM4M v2 (test-dev)
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0.0872
MAE
EGT-Large (24 layers)
0.085096
0.099298
0.1135
0.127702
Aug 7, 2021
Sep 24, 2021
Nov 12, 2021
Dec 30, 2021
Feb 17, 2022
Apr 6, 2022
May 25, 2022
MAE
Updated 1mo ago
Evaluation Results
Method
Method
Links
MAE
EGT-Large (24 layers)
#Param=89.3M, Layers=24
2021.08
0.0872
EGT
# Param.=89.3M
2022.05
0.0872
GRPE
# Param.=46.2M
2022.05
0.0898
GIN-VN
#Param=6.7M
2021.08
0.1084
GIN-virtual
# Param.=6.7M
2022.05
0.1084
GCN-VN
#Param=4.9M
2021.08
0.1152
GCN-virtual
# Param.=4.9M
2022.05
0.1152
GIN
#Param=3.8M
2021.08
0.1218
GIN
# Param.=3.8M
2022.05
0.1218
GCN
#Param=2.0M
2021.08
0.1398
GCN
# Param.=2.0M
2022.05
0.1398
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