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Query2box: Reasoning over Knowledge Graphs in Vector Space using Box
  Embeddings

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

14 February 2020
Hongyu Ren
Weihua Hu
J. Leskovec
ArXivPDFHTML

Papers citing "Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings"

5 / 55 papers shown
Title
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren
J. Leskovec
BDL
25
206
0
22 Oct 2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning
  systems more interpretable and explainable?
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Manas Gaur
Keyur Faldu
A. Sheth
41
113
0
16 Oct 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
40
3
0
12 Oct 2020
BoxE: A Box Embedding Model for Knowledge Base Completion
BoxE: A Box Embedding Model for Knowledge Base Completion
Ralph Abboud
.Ismail .Ilkan Ceylan
Thomas Lukasiewicz
Tommaso Salvatori
40
177
0
13 Jul 2020
Facts as Experts: Adaptable and Interpretable Neural Memory over
  Symbolic Knowledge
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
Pat Verga
Haitian Sun
Livio Baldini Soares
William W. Cohen
KELM
35
50
0
02 Jul 2020
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