%0 Journal Article %1 journals/titb/LiWLYZL22 %A Li, Chunyan %A Wei, Wei %A Li, Jin %A Yao, Junfeng %A Zeng, Xiangxiang %A Lv, Zhihan %D 2022 %J IEEE J. Biomed. Health Informatics %K dblp %N 10 %P 5044-5054 %T 3DMol-Net: Learn 3D Molecular Representation Using Adaptive Graph Convolutional Network Based on Rotation Invariance. %U http://dblp.uni-trier.de/db/journals/titb/titb26.html#LiWLYZL22 %V 26

@article{journals/titb/LiWLYZL22, added-at = {2022-12-07T00:00:00.000+0100}, author = {Li, Chunyan and Wei, Wei and Li, Jin and Yao, Junfeng and Zeng, Xiangxiang and Lv, Zhihan}, biburl = {https://www.bibsonomy.org/bibtex/2c8e828801bc55a968b71a74a4c27b65f/dblp}, ee = {https://doi.org/10.1109/JBHI.2021.3089162}, interhash = {90656fb07b1119800c8bea794beb8629}, intrahash = {c8e828801bc55a968b71a74a4c27b65f}, journal = {IEEE J. Biomed. Health Informatics}, keywords = {dblp}, number = 10, pages = {5044-5054}, timestamp = {2024-04-09T04:43:00.000+0200}, title = {3DMol-Net: Learn 3D Molecular Representation Using Adaptive Graph Convolutional Network Based on Rotation Invariance.}, url = {http://dblp.uni-trier.de/db/journals/titb/titb26.html#LiWLYZL22}, volume = 26, year = 2022 }