{
 "id": "maomlab/Molecule3D",
 "owner": "maomlab",
 "name": "Molecule3D",
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 "last_modified": "2025-08-17T03:10:15.000Z",
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 "tasks": [
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 "citation": "@misc{https://doi.org/10.48550/arxiv.2110.01717,\n  doi = {10.48550/ARXIV.2110.01717},\n  url = {https://arxiv.org/abs/2110.01717},\n  author = {Xu,  Zhao and Luo,  Youzhi and Zhang,  Xuan and Xu,  Xinyi and Xie,  Yaochen and Liu,  Meng and Dickerson,  Kaleb and Deng,  Cheng and Nakata,  Maho and Ji,  Shuiwang},\n  keywords = {Machine Learning (cs.LG),  Artificial Intelligence (cs.AI),  FOS: Computer and information sciences,  FOS: Computer and information sciences},\n  title = {Molecule3D: A Benchmark for Predicting 3D Geometries from Molecular Graphs},\n  publisher = {arXiv},\n  year = {2021},\n  copyright = {arXiv.org perpetual,  non-exclusive license}\n}",
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