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K
Accueil
SOTA
Position Regression
Position Regression On Chili 3K
Position Regression On Chili 3K
Métriques
Positional MAE
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Positional MAE
Paper Title
Repository
GCN
16.575 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GraphSAGE
16.575 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GIN
16.575 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Mean
16.575
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GAT
16.575 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GraphUNet
14.765 +/- 0.395
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
EdgeCNN
16.575 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
PMLP
16.575 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
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