New Graph Embedding Approach for 3D Protein Shape Classification-Reference-Cited by-同舟云学术

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New Graph Embedding Approach for 3D Protein Shape Classification

Published:2020-08-26 Issue: Volume: Page:
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Container-title:2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR)
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Author:

Madi Kamel,Paquet Eric

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9306505/9306510/09306543.pdf?arnumber=9306543

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geometric Features and GAT Neural Network for Protein Surface Classification;Lecture Notes in Computer Science;2024

2. Deformable Protein Shape Classification Based on Deep Learning, and the Fractional Fokker–Planck and Kähler–Dirac Equations;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023-01-01

3. 3D Deformable Protein Shapes Classification based on Triangles-Stars and Composite Deep Neural Networks;2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA);2022-12

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