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X-ray PDF regression
벤치마크
X-ray PDF regression on
CHILI-100K
8개 결과 ·
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JSON
MSE
낮을수록 좋음
0.007
0.0145
0.022
0.0295
0.037
2024-02
2026-09
Mean — 0.007 (2024-02-20)
EdgeCNN — 0.012 (2024-02-20)
PMLP — 0.013 (2024-02-20)
GAT — 0.013 (2024-02-20)
GraphUNet — 0.013 (2024-02-20)
GIN — 0.013 (2024-02-20)
GCN — 0.014 (2024-02-20)
GraphSAGE — 0.037 (2024-02-20)
Mean — 0.007 (2024-02-20)
2024-02-20 — Mean: MSE 0.007
Rank
Model
MSE
Paper
Code
Year
1
Mean
0.007
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
2
EdgeCNN
0.012 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
3
PMLP
0.013 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
4
GAT
0.013 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
5
GraphUNet
0.013 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
6
GIN
0.013 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
7
GCN
0.014 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
8
GraphSAGE
0.037 +/- 0.026
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
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