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Awesome GitHub RepositoriesEmbedding-Based Knowledge Representation Learning
Learning numerical vector representations of entities and relations to capture semantic patterns.
Distinct from Symbolic Knowledge Representation Systems: Focuses on learning continuous vector spaces (embeddings) rather than symbolic logical representations.
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Awesome Embedding-Based Knowledge Representation Learning GitHub Repositories
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- thunlp/openke
thunlp/OpenKE
4,041在 GitHub 上查看OpenKE 是一个知识图谱嵌入框架，旨在将结构化知识图谱转换为低维向量表示。它作为一个表示学习库和将实体与关系转换为数值嵌入的工具集。 该项目包含一个链接预测引擎，用于评估实体之间关系的似然性并识别大规模图谱中的缺失事实。它提供了一个专用的预处理工具，将原始实体和关系字符串映射为数值标识符以进行机器学习训练。 该框架的功能涵盖了图嵌入的全生命周期，包括数据预处理、表示学习和链接预测分析。
Learns numerical representations of entities and relations to capture semantic patterns within a knowledge base.
Pythonknowledge-embedding
