OpenCodePapers

distance-regression-on-chili-3k

Materials ScienceNanomaterial Property PredictionDistance regression
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
Click a sortable column header to sort.
PaperCodeMSEModelNameReleaseDate
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.015 +/- 0.001EdgeCNN2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.055 +/- 0.002GraphSAGE2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.055 +/- 0.001GraphUNet2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.056 +/- 0.006GCN2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.265Mean2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.342 +/- 0.117GAT2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.359 +/- 0.017PMLP2024-02-20
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning✓ Link0.464 +/- 0.005GIN2024-02-20
Check out how to contribute new results. Then edit this file on GitLab or GitHub.