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Molecule Classification Based on GCN Network

In: Liss 2021

Author

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  • Xiaozhang Huang

    (Beijing Institute of Graphic Communication)

Abstract

With the emerging of machine learning and deep learning, ML and DL are widely used in biology and social network. One important task in biology is classify the different molecule. In this paper we propose a novel GCN-based approach, which can learn the molecule representation end-to-end. Then the learned high-level representation is used to classify the molecule. Finally, we conduct extensive experiment to evaluate the performance of our approach. The experiment result shows that our approach’s effectiveness on several biology datasets.

Suggested Citation

  • Xiaozhang Huang, 2022. "Molecule Classification Based on GCN Network," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 220-227, Springer.
    • Handle: RePEc:spr:lnopch:978-981-16-8656-6_21
    DOI: 10.1007/978-981-16-8656-6_21
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