研究进展和知识图的应用 嵌入技术在化学中的技术
Chuanghui Wang1, Yunqing Yang1, Jinshuai Song2
1School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou 450001, China.
Journal of chemical information and modeling
|September 20, 2024
概括
知识图 (KG) 和知识图嵌入式 (KGE) 组织化学数据以进行更好的分析. 这些技术通过整合复杂的信息来改善化学性质预测和药物发现.
科学领域:
- 计算化学的计算化学
- 化学信息学 化学信息学
- 生物信息学是一种生物信息学.
背景情况:
- 知识图 (KG) 模型实体及其相互关系.
- 知识图嵌入 (KGE) 在矢量空间中表示这些实体和关系.
- KGE 促进了化学应用的密集和高效的数据表示.
研究的目的:
- 审查古典和当代的KGE方法.
- 为KG建设编目化学数据库.
- 探索KG和KGE在化学中的应用.
主要方法:
- 基于距离,语义匹配和基于神经网络的KGE模型的审查.
- 确定关键的化学和生物化学数据库,用于KG生成.
- 分析当前KG和KGE在化学中的应用.
主要成果:
- 关于KGE技术的全面概述.
- 化学KG建设必需的数据库列表.
- 探索风险评估,财产预测和药物发现中的应用.
结论:
- KG和KGE技术为化学数据提供了一个连贯的框架.
- 这些方法提高了化学数据的表示和下游任务性能.
- 讨论KG和KGE在化学方面的挑战和未来方向.
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