Kronecker Decomposition for Knowledge Graph Embeddings

Author:

Demir Caglar1,Lienen Julian2,Ngonga Ngomo Axel-Cyrille1

Affiliation:

1. Data Science Group, Paderborn University, Germany

2. Paderborn University, Germany

Publisher

ACM

Reference66 articles.

1. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450(2016). Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450(2016).

2. Ivana Balažević , Carl Allen , and Timothy  M Hospedales . 2019 a. Hypernetwork knowledge graph embeddings . In International Conference on Artificial Neural Networks. Springer, 553–565 . Ivana Balažević, Carl Allen, and Timothy M Hospedales. 2019a. Hypernetwork knowledge graph embeddings. In International Conference on Artificial Neural Networks. Springer, 553–565.

3. Ivana Balažević , Carl Allen , and Timothy  M Hospedales . 2019 b. Tucker: Tensor factorization for knowledge graph completion. arXiv preprint arXiv:1901.09590(2019). Ivana Balažević, Carl Allen, and Timothy M Hospedales. 2019b. Tucker: Tensor factorization for knowledge graph completion. arXiv preprint arXiv:1901.09590(2019).

4. Chris  M Bishop . 1995. Training with noise is equivalent to Tikhonov regularization. Neural computation 7, 1 ( 1995 ), 108–116. Chris M Bishop. 1995. Training with noise is equivalent to Tikhonov regularization. Neural computation 7, 1 (1995), 108–116.

5. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787–2795. Antoine Bordes Nicolas Usunier Alberto Garcia-Duran Jason Weston and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems. 2787–2795.

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