Library/pykeen
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pykeen/pykeen

pykeen

🤖 A Python library for learning and evaluating knowledge graph embeddings

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pykeen

pykeen

pykeen • individual

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Created

Feb 24, 2020

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README Summary

PyKEEN is a comprehensive Python library for learning and evaluating knowledge graph embeddings with support for multiple embedding models, datasets, and evaluation metrics. It provides a unified interface for knowledge graph completion tasks and includes pre-trained models, benchmarking capabilities, and integration with popular machine learning frameworks. The library is designed to make knowledge graph embedding research and applications more accessible through a clean, extensible API.

AI Dev Skills

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Knowledge Graph EmbeddingsGraph Neural NetworksRepresentation LearningLink PredictionEntity ResolutionKnowledge Graph CompletionVector EmbeddingsGraph Machine LearningSemantic Web TechnologiesRelational Learning

Tags

Knowledge Graph EmbeddingsGraph Neural NetworksRepresentation LearningLink PredictionEntity ResolutionKnowledge Graph CompletionVector EmbeddingsGraph Machine LearningSemantic Web TechnologiesRelational LearningTextLegal TechOn-premiseKnowledge GraphsSemantic SearchEntity ClassificationHealthcareDrug DiscoveryFraud DetectionE-commerceCloud APIExplainable AIRecommendation SystemsContent RecommendationKnowledge ManagementLife SciencesSemantic AITabularSelf-hostedFinTechQuestion Answering over Knowledge BasesPython

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Updated 3 months ago

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production
Quality
high
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production

Categories

Dev Tools & AutomationPrimaryIndustry: HealthcareIndustry: FinTechRAG & RetrievalNLP & TextHealthcare & BiologyFinance & LegalEdge & Mobile AISearch & KnowledgeOther AI / ML

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Languages

Python100.0%

Timeline

Project created
Feb 24, 2020
Forked
Mar 22, 2026
Your last push
3 months ago
Upstream last push
3 months ago
Tracked since
Dec 17, 2025

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