Novel translation knowledge graph completion model based on 2D convolution

Author:

Feng Jianzhou,Wei QikaiORCID,Cui Jinman,Chen Jing

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference23 articles.

1. Balažević I, Allen C, Hospedales TM (2019) Hypernetwork knowledge graph embeddings. In: International conference on artificial neural networks. Springer, pp 553– 565

2. Bansal T, Juan DC, Ravi S, McCallum A (2019) A2n: attending to neighbors for knowledge graph inference. In: Proceedings of the 57th annual meeting of the association for computational linguistics, pp 4387–4392

3. Bordes A, Usunier N, Garcia-Duran A, Weston J, Yakhnenko O (2013) Translating embeddings for modeling multi-relational data. In: Advances in neural information processing systems, pp 2787–2795

4. Das R, Dhuliawala S, Zaheer M, Vilnis L, Durugkar I, Krishnamurthy A, Smola A, McCallum A (2017) Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning. In: International conference on learning representations

5. Dettmers T, Minervini P, Stenetorp P, Riedel S (2018) Convolutional 2d knowledge graph embeddings. In: Proceedings of the AAAI conference on artificial intelligence, vol 32

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