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Crystal System Classification On Chili 3K

Metrics

F1-score (Weighted)

Results

Performance results of various models on this benchmark

Model Name
F1-score (Weighted)
Paper TitleRepository
GAT0.504 +/- 0.076CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
Random0.191 +/- 0.008CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GCN0.367 +/- 0.127CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
PMLP0.440 +/- 0.036CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GIN0.438 +/- 0.004CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GraphSAGE0.422 +/- 0.037CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
EdgeCNN0.657 +/- 0.196CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GraphUNet0.431 +/- 0.014CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
Most Frequent Class0.440CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
0 of 9 row(s) selected.
Crystal System Classification On Chili 3K | SOTA | HyperAI