Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learning

Author:

Bai Luyi,Yu Wenting,Chen Mingzhuo,Ma Xiangnan

Funder

Natural Science Foundation of Hebei Province

Natural Science Foundation of Liaoning Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Software

Reference32 articles.

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2. G.H. Nguyen, J.B. Lee, R.A. Rossi, N.K. Ahmed, E. Koh, S. Kim, Continuous-time dynamic network embeddings, in: Proceedings of Companion of the The Web Conference 2018, 2018, pp. 969–976, https://doi.org/10.1145/3184558.3191526.

3. L.P. Heck, D. Hakkani-Tür, G. Tür, Leveraging knowledge graphs for web-scale unsupervised semantic parsing, in: Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013, pp. 1594–1598, http://www.isca-speech.org/archive/interspeech\_2013/i13\_1594.html.

4. A. Bordes, N. Usunier, A. García-Durán, J. Weston, O. Yakhnenko, Translating embeddings for modeling multi-relational data, in: Proceedings of Advances in Neural Information Processing Systems, 2013, pp . 2787–2795, http://papers.nips.cc/paper/5071-translating-embeddings-for-modeling-multi-relational-data.

5. Z. Wang, J. Zhang, J. Feng, Z. Chen, Knowledge graph embedding by translating on hyperplanes, in: Proceedings of the Twenty-Eighth Conference on Artificial Intelligence, 2014, pp. 1112–1119, http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8531.

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