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The deductive closure of an ideal knowledge base (KB) contains exactly the logical queries that the KB can answer.
Neural query language: A knowledge base query language for tensorflow
W. W. Cohen, M. Siegler, and R. A. Hofer · 1905
Earlier work this paper cites.
Space/time trade-offs in hash coding with allowable errors
B. H. Bloom · 1970
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Quantum logic
K. Svozil · 1998
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An improved data stream summary: the count-min sketch and its applications
G. Cormode and S. Muthukrishnan · 2005
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Translating embeddings for modeling multi-relational data
A. Bordes, N. Usunier, A. Garcia-Duran, J. Weston, and O. Yakhnenko · 2013
Earlier work this paper cites.
Word representations via gaussian embedding
L. Vilnis and A. McCallum · 2014
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Traversing knowledge graphs in vector space
K. Guu, J. Miller, and P. Liang · 2015
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Modeling relation paths for representation learning of knowledge bases
Y. Lin, Z. Liu, H. Luan, M. Sun, S. Rao, and S. Liu · 2015
Earlier work this paper cites.
Semantic parsing via staged query graph generation: Question answering with knowledge base
W.-t. Yih, M.-W. Chang, X. He, and J. Gao · 2015
Earlier work this paper cites.
A. Daniely, N. Lazic, Y. Singer, and K. Talwar · 2016
Earlier work this paper cites.
Chains of reasoning over entities, relations, and text using recurrent neural networks
R. Das, A. Neelakantan, D. Belanger, and A. McCallum · 2016
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Lifted rule injection for relation embeddings
T. Demeester, T. Rocktäschel, and S. Riedel · 2016
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Learning and inference via maximum inner product search
S. Mussmann and S. Ermon · 2016
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Complex embeddings for simple link prediction
T. Trouillon, J. Welbl, S. Riedel, É. Gaussier, and G. Bouchard · 2016
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Analogical inference for multi-relational embeddings
H. Liu, Y. Wu, and Y. Yang · 2017
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Training relation embeddings under logical constraints
Embedding logical queries on knowledge graphs
W. Hamilton, P. Bajaj, M. Zitnik, D. Jurafsky, and J. Leskovec · 2018
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Open domain question answering using early fusion of knowledge bases and text
H. Sun, B. Dhingra, M. Zaheer, K. Mazaitis, R. Salakhutdinov, and W. W. Cohen · 2018
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Probabilistic embedding of knowledge graphs with box lattice measures
L. Vilnis, X. Li, S. Murty, and A. McCallum · 2018
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Towards empty answers in sparql: Approximating querying with rdf embedding
M. Wang, R. Wang, J. Liu, Y. Chen, L. Zhang, and G. Qi · 2018
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Variational reasoning for question answering with knowledge graph
Y. Zhang, H. Dai, Z. Kozareva, A. J. Smola, and L. Song · 2018
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P. Rastogi, A. Poliak, and B. Van Durme · 2017
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Knowledge graph embedding: A survey of approaches and applications
Q. Wang, Z. Mao, B. Wang, and L. Guo · 2017
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Deep sets
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. R. Salakhutdinov, and A. J. Smola · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
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Key-value memory networks for directly reading documents
A. Miller, A. Fisch, J. Dodge, A.-H. Karimi, A. Bordes, and J. Weston
Cited in the paper.
Key-value memory networks for directly reading documents
A. H. Miller, A. Fisch, J. Dodge, A. Karimi, A. Bordes, and J. Weston
Cited in the paper.
H. Sun, T. Bedrax-Weiss, and W. W. Cohen · 2019
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Scalable neural methods for reasoning with a symbolic knowledge base
W. W. Cohen, H. Sun, R. A. Hofer, and M. Siegler · 2020
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Query2box: Reasoning over knowledge graphs in vector space using box embeddings
H. Ren, W. Hu, and J. Leskovec · 2020
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Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
A. Saxena, A. Tripathi, and P. Talukdar · 2020
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