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n | "author": "Raghunathan Ramakrishnan", | n | "author": "Junde Li", |
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| | | "https://doi.org/10.48550/arXiv.2112.12563", |
| | | "https://doi.org/10.48550/arXiv.2307.15429", |
| | | "https://doi.org/10.48550/arXiv.2310.02970", |
| | | "https://doi.org/10.48550/arXiv.2207.08023", |
| | | "https://doi.org/10.48550/arXiv.2212.00449", |
| | | "https://doi.org/10.48550/arXiv.2402.12269", |
| | | "https://doi.org/10.48550/arXiv.2010.06477", |
| | | "https://doi.org/10.1038/s41524-022-00863-y" |
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n | "defined_in": "https://doi.org/10.48550/arXiv.1810.09751", | n | "defined_in": "https://doi.org/10.48550/arXiv.2305.07508", |
| "doi": "10.57702/exp0m45r", | | "doi": "10.57702/exp0m45r", |
| "doi_date_published": "2024-11-25", | | "doi_date_published": "2024-11-25", |
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| "name": "qm9", | | "name": "qm9", |
n | "notes": "The QM9 dataset contains approximately 133,000 organic | n | "notes": "A dataset of small molecules for benchmarking molecule |
| molecules composed of elements such as H, C, N, O, and F, used for | | generation methods. The dataset consists of fingerprints of the |
| predicting molecular properties like internal energy.", | | molecules, and the goal is to predict the original molecule from the |
| | | fingerprint.", |
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