OpenCodePapers

atomic-number-classification-on-chili-3k

Materials ScienceNanomaterial Property PredictionAtomic number classification
Dataset Link
Results over time
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PaperCodeF1-score (Weighted)ModelNameReleaseDate
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.632 +/- 0.009EdgeCNN2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.587 +/- 0.002GIN2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.552 +/- 0.079GraphUNet2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.496 +/- 0.001GCN2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.491 +/- 0.004GraphSAGE2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.461Most Frequent Class2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.461 +/- 0.000PMLP2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.461 +/- 0.000GAT2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.016 +/- 0.000Random2024-02-20
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