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홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
한국어
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  1. 홈
  2. SOTA
  3. 거리 회귀
  4. Distance Regression On Chili 3K

Distance Regression On Chili 3K

평가 지표

MSE

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
MSE
Paper TitleRepository
GCN0.056 +/- 0.006CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GAT0.342 +/- 0.117CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
PMLP0.359 +/- 0.017CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GraphUNet0.055 +/- 0.001CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GraphSAGE0.055 +/- 0.002CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
EdgeCNN0.015 +/- 0.001CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
Mean0.265CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
GIN0.464 +/- 0.005CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning-
0 of 8 row(s) selected.
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소개

회사 소개데이터셋 도움말

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뉴스튜토리얼데이터셋백과사전

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