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TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning
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Lapis-Hong/TransE-Knowledge-Graph-Embedding
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Knowledge Graph Embedding model collections implemented by TensorFlow.Including TransE [1], TransH [2], TransR [3], TransD [4] models for knowledge representation learning (KRL).
- Python 3.6
- TensorFlow 1.10
You can download FB15K and WN18 fromDownload.
add more models
python train.py
[1] Bordes, Antoine, et al. Translating embeddings for modeling multi-relational data. Proceedings of NIPS, 2013.
[2]Zhen Wang, Jianwen Zhang, et al. Knowledge Graph Embedding by Translating on Hyperplanes. Proceedings of AAAI, 2014.
[3] Yankai Lin, Zhiyuan Liu, et al. Learning Entity and Relation Embeddings for Knowledge Graph Completion. Proceedings of AAAI, 2015.
[4] Guoliang Ji, Shizhu He, et al. Knowledge Graph Embedding via Dynamic Mapping Matrix. Proceedings of ACL, 2015.
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TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning
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