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Atomic number classification
벤치마크
Atomic number classification on
CHILI-100K
18개 결과 ·
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F1-score (Weighted)
0.015
0.1542
0.2935
0.4327
0.572
2024-02
2026-09
EdgeCNN — 0.572 (2024-02-20)
GIN — 0.336 (2024-02-20)
GraphUNet — 0.287 (2024-02-20)
GCN — 0.275 (2024-02-20)
GraphSAGE — 0.195 (2024-02-20)
Most Frequent Class — 0.192 (2024-02-20)
GAT — 0.192 (2024-02-20)
PMLP — 0.191 (2024-02-20)
Random — 0.015 (2024-02-20)
EdgeCNN — 0.572 (2024-02-20)
GIN — 0.336 (2024-02-20)
GraphUNet — 0.287 (2024-02-20)
GCN — 0.275 (2024-02-20)
GraphSAGE — 0.195 (2024-02-20)
Most Frequent Class — 0.192 (2024-02-20)
GAT — 0.192 (2024-02-20)
PMLP — 0.191 (2024-02-20)
Random — 0.015 (2024-02-20)
EdgeCNN — 0.572 (2024-02-20)
2024-02-20 — EdgeCNN: F1-score (Weighted) 0.572
Rank
Model
F1-score (Weighted)
Paper
Code
Year
1
EdgeCNN
0.572 +/- 0.017
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
2
GIN
0.336 +/- 0.005
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
3
GraphUNet
0.287 +/- 0.004
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
4
GCN
0.275 +/- 0.002
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
5
GraphSAGE
0.195 +/- 0.007
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
6
Most Frequent Class
0.192
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
7
GAT
0.192 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
8
PMLP
0.191 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
9
Random
0.015 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
10
EdgeCNN
0.572 +/- 0.017
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
11
GIN
0.336 +/- 0.005
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
12
GraphUNet
0.287 +/- 0.004
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
13
GCN
0.275 +/- 0.002
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
14
GraphSAGE
0.195 +/- 0.007
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
15
Most Frequent Class
0.192
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
16
GAT
0.192 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
17
PMLP
0.191 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
18
Random
0.015 +/- 0.000
CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
UlrikFriisJensen/CHILI
2024
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