Temporal knowledge graphs reasoning with iterative guidance by temporal logical rules

Author:

Bai Luyi,Yu Wenting,Chai Die,Zhao Wenjun,Chen Mingzhuo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference29 articles.

1. Multi-hop reasoning over paths in temporal knowledge graphs using reinforcement learning;Bai;Appl. Soft Comput.,2021

2. A. Bordes, N. Usunier, A. García-Durán, J. Weston, O. Yakhnenko, Translating Embeddings for Modeling Multi-relational Data, in Proceedings of the 27th NIPS, Lake Tahoe, Nevada, USA, 2013, pp. 2787-2795.

3. R. Das, S. Dhuliawala, M. Zaheer, L. Vilnis, I. Durugkar, A. Krishnamurthy, A. Smola, A. McCallum, Go for a walk and arrive at the answer: reasoning over paths in knowledge bases using reinforcement learning, in Proceedings of the 6th ICLR, Vancouver, BC, Canada, 2018, pp. 1-18.

4. S.S. Dasgupta, S.N. Ray, P.P. Talukdar, Hyte: hyperplane-based temporally aware knowledge graph embedding, in Proceedings of the 2018 EMNLP, Brussels, Belgium, 2018, pp. 2001-2011.

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