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Updated: Jun 7, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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使用结构化本体模型,图形神经网络和大型语言模型从科学出版物中提取知识的准确和有效方法

Timofey V Ivanisenko1,2, Pavel S Demenkov1,2, Vladimir A Ivanisenko1,2

  • 1The Artificial Intelligence Research Center of Novosibirsk State University, Pirogova Street 1, Novosibirsk 630090, Russia.

International journal of molecular sciences
|November 9, 2024
PubMed
概括

本研究引入了混合图神经网络 (GNN) 和大语言模型 (LLM) 方法来增强生物医学知识图. 它有效地发现复杂疾病的潜在分子相互作用,加速治疗目标的发现.

关键词:
安德斯系统 ANDS 系统在GNN中,GNN是最重要的.在法学士 (LLM) 课程中.深度学习是一种深度学习.知识图表知识图表文本挖掘技术的使用

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