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SOTA
Classification du système cristallin
Crystal System Classification On Chili 3K
Crystal System Classification On Chili 3K
Métriques
F1-score (Weighted)
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
F1-score (Weighted)
Paper Title
Repository
GAT
0.504 +/- 0.076
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
Random
0.191 +/- 0.008
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
GCN
0.367 +/- 0.127
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
PMLP
0.440 +/- 0.036
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
GIN
0.438 +/- 0.004
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
GraphSAGE
0.422 +/- 0.037
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
EdgeCNN
0.657 +/- 0.196
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
GraphUNet
0.431 +/- 0.014
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
Most Frequent Class
0.440
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
-
0 of 9 row(s) selected.
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