Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning-Reference-Cited by-同舟云学术

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:The World Wide Web Conference on - WWW '19
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Author:

Zhang Wen¹,Paudel Bibek²,Wang Liang¹,Chen Jiaoyan³,Zhu Hai⁴,Zhang Wei⁴,Bernstein Abraham²,Chen Huajun¹

Affiliation:

1. Zhejiang University, China

2. University of Zurich, Switzerland

3. University of Oxford, United Kingdom

4. Alibaba Group, China

Publisher

ACM Press

Reference50 articles.

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3. Antoine Bordes, Nicolas Usunier, Alberto García-Durán, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. Proceedings of NIPS(2013), 2787-2795.

4. Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, and Wei Wang. 2017. KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. PVLDB10, 5 (2017), 565-576.

5. Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alexander J. Smola, and Andrew McCallum. 2017. Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. CoRRabs/1711.05851(2017).

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