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Position Regression On Chili 100K

Metrics

Positional MAE

Results

Performance results of various models on this benchmark

Paper Title
GraphSAGE16.337 +/- 0.000CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GAT16.336 +/- 0.000CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GIN16.336 +/- 0.000CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
EdgeCNN16.336 +/- 0.000CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GCN16.336 +/- 0.000CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Mean16.336CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
PMLP16.336 +/- 0.000CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
GraphUNet14.824 +/- 0.315CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
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Position Regression On Chili 100K | SOTA | HyperAI