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SAXS regression 벤치마크

SAXS regression on CHILI-100K

8개 결과 · ⬇ CSV · JSON

MSE 낮을수록 좋음

0.003 0.01175 0.0205 0.02925 0.038 2024-02 2026-09 PMLP — 0.003 (2024-02-20) EdgeCNN — 0.007 (2024-02-20) GAT — 0.009 (2024-02-20) GraphUNet — 0.009 (2024-02-20) GIN — 0.009 (2024-02-20) GCN — 0.01 (2024-02-20) GraphSAGE — 0.011 (2024-02-20) Mean — 0.038 (2024-02-20) PMLP — 0.003 (2024-02-20)
RankModel MSE PaperCodeYear
1 PMLP 0.003 +/- 0.000 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
2 EdgeCNN 0.007 +/- 0.009 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
3 GAT 0.009 +/- 0.000 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
4 GraphUNet 0.009 +/- 0.000 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
5 GIN 0.009 +/- 0.000 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
6 GCN 0.010 +/- 0.000 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
7 GraphSAGE 0.011 +/- 0.002 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
8 Mean 0.038 CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning UlrikFriisJensen/CHILI 2024
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