OpenCodePapers
atomic-number-classification-on-chili-100k
Materials Science
Nanomaterial Property Prediction
Atomic number classification
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
Show papers without code
Paper
Code
F1-score (Weighted)
↕
ModelName
ReleaseDate
↕
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.572 +/- 0.017
EdgeCNN
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.336 +/- 0.005
GIN
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.287 +/- 0.004
GraphUNet
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.275 +/- 0.002
GCN
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.195 +/- 0.007
GraphSAGE
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.192
Most Frequent Class
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.192 +/- 0.000
GAT
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.191 +/- 0.000
PMLP
2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
✓ Link
0.015 +/- 0.000
Random
2024-02-20
×