1 مستودع
Awesome GitHub RepositoriesEmbedding Preprocessing
Transformation of raw graph strings into numerical identifiers for embedding models.
Distinct from Knowledge Graph Indexers: Focuses on the specific mapping of entities/relations to IDs for training, rather than general graph indexing.
Explore 1 awesome GitHub repository matching data & databases · Embedding Preprocessing. Refine with filters or upvote what's useful.
Awesome Embedding Preprocessing GitHub Repositories
اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
- thunlp/openke
thunlp/OpenKE
4,041عرض على GitHubOpenKE is a knowledge graph embedding framework designed to transform structured knowledge graphs into low-dimensional vector representations. It functions as a library for representation learning and a toolset for converting entities and relations into numerical embeddings. The project includes a link prediction engine to evaluate the likelihood of relationships between entities and identify missing facts in large-scale graphs. It provides a dedicated preprocessing tool to map raw entity and relation strings into numerical identifiers for machine learning training. The framework's capabilit
Transforms raw entity and relation strings into numerical identifiers required for machine learning training.
Pythonknowledge-embedding
