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Distance Regression On Chili 3K

Métriques

MSE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
MSE
Paper TitleRepository
GCN0.056 +/- 0.006CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GAT0.342 +/- 0.117CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
PMLP0.359 +/- 0.017CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GraphUNet0.055 +/- 0.001CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GraphSAGE0.055 +/- 0.002CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
EdgeCNN0.015 +/- 0.001CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
Mean0.265CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GIN0.464 +/- 0.005CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
0 of 8 row(s) selected.
Distance Regression On Chili 3K | SOTA | HyperAI