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Benchmarks
Graph Regression on Peptides-struct (train)
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0.229
MAE
CIN++
0.221068
0.274609
0.32815
0.381691
Jun 6, 2023
MAE
Updated 4d ago
Evaluation Results
Method
Method
Links
MAE
CIN++
2023.06
0.229
Transformer
Encoding=LapPE
2023.06
0.2403
GatedGCN
Encoding=RWSE
2023.06
0.2578
SAN
Encoding=RWSE
2023.06
0.268
GatedGCN
2023.06
0.2761
SAN
Encoding=LapPE
2023.06
0.2822
GCN
2023.06
0.2939
GCNII
2023.06
0.2957
GINE
2023.06
0.3116
MLP
2023.06
0.4273
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