AmpliGraph

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

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Accenture

Accenture • individual

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2,233

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254

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0/100

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Created

Jan 9, 2019

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README Summary

AmpliGraph is a Python library for representation learning on knowledge graphs, providing implementations of state-of-the-art knowledge graph embedding models. It offers tools for learning embeddings from knowledge graphs and evaluating their quality through various metrics and benchmarks. The library is designed to be easy to use while providing flexibility for researchers and practitioners working with knowledge graph data.

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Tags

Knowledge Graph EmbeddingsGraph Neural NetworksRepresentation LearningLink PredictionEntity EmbeddingGraph Machine LearningKnowledge Graph CompletionRelational LearningNegative SamplingGraph-based Recommender SystemsKnowledge-Enhanced AIHealthcareGraphTextSocial Network AnalysisFinTechDrug DiscoveryQuestion Answering over Knowledge GraphsRecommendation SystemsExplainable AIOntology AlignmentFact VerificationSemantic WebSymbolic-Neural IntegrationEnterprise SearchTabularCloud APISelf-hostedEntity ResolutionOn-premiseKnowledge ManagementE-commercePython

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Updated 1 years ago

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Quality

production

Quality: high
Maturity: production

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Product DiscoveryData & Evaluation

Languages

Python100.0%

Timeline

Project created: Jan 9, 2019
Forked: Mar 22, 2026
Your last push: 1 years ago
Upstream last push: 1 years ago
Tracked since: Nov 22, 2024

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