This list contains repositories of libraries and approaches for knowledge graph embeddings, which are vector representations of entities and relations in a multi-relational directed labelled graph. Licensed under CC0.
- 🆕 AmpliGraph (4 algorithms) @ https://github.com/Accenture/AmpliGraph
- Embedding framework (5 algorithms) @ https://github.com/BookmanHan/Embedding
- KB2EP collection (5 algorithms) @ https://github.com/thunlp/KB2EP
- 🆕 OpenKE (8 algorithms) @ https://github.com/thunlp/OpenKE
- 🆕 PyKEEN (10 algorithms) @ https://github.com/SmartDataAnalytics/PyKEEN/
- Python KGE (6 algorithms) @ https://github.com/mana-ysh/knowledge-graph-embeddings
- scikit-kge (3 algorithms) @ https://github.com/mnick/scikit-kge
- scikit-tensor (5 algorithms) @ https://github.com/mnick/scikit-tensor
- SME (4 algorithms) @ https://github.com/glorotxa/SME
- ComplEx @ https://github.com/ttrouill/complex
- ComplEx-NNE-AER @ https://github.com/iieir-km/ComplEx-NNE_AER
- ConvE @ https://github.com/TimDettmers/ConvE
- EbemKG @ https://github.com/pminervini/ebemkg
- 🆕 fastText @ https://github.com/facebookresearch/fastText/tree/master/scripts/kbcompletion
- HolE @ https://github.com/mnick/holographic-embeddings
- Inferbeddings @ https://github.com/uclmr/inferbeddings
- KG2Vec @ https://github.com/AKSW/KG2Vec
- KGE-LDA @ https://github.com/yao8839836/KGE-LDA
- KR-EAR @ https://github.com/thunlp/KR-EAR
- LiteralE @ https://github.com/SmartDataAnalytics/LiteralE
- mFold @ https://github.com/v-shinc/mFoldEmbedding
- Neural-LP @ https://github.com/fanyangxyz/Neural-LP
- ProjE @ https://github.com/bxshi/ProjE
- RDF2Vec @ http://data.dws.informatik.uni-mannheim.de/rdf2vec/code/
- Resource2Vec @ https://github.com/AKSW/Resource2Vec/tree/master/resource2vec-core
- TranslatingModel @ https://github.com/ZichaoHuang/TranslatingModel
- wiki2vec (for DBpedia only) @ https://github.com/idio/wiki2vec