ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1805.10461
  4. Cited By
From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the
  Compatibility between Vector Space Representations and Rules

From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules

26 May 2018
Víctor Gutiérrez-Basulto
Steven Schockaert
ArXivPDFHTML

Papers citing "From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules"

14 / 14 papers shown
Title
Ontology Embedding: A Survey of Methods, Applications and Resources
Ontology Embedding: A Survey of Methods, Applications and Resources
Jiaoyan Chen
Olga Mashkova
Fernando Zhapa-Camacho
Robert Hoehndorf
Yuan He
Ian Horrocks
77
6
0
16 Jun 2024
SimplE Embedding for Link Prediction in Knowledge Graphs
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi
David Poole
66
713
0
13 Feb 2018
Explaining Trained Neural Networks with Semantic Web Technologies: First
  Steps
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps
Md Kamruzzaman Sarker
Ning Xie
Derek Doran
M. Raymer
Pascal Hitzler
3DV
31
64
0
11 Oct 2017
Stacked Structure Learning for Lifted Relational Neural Networks
Stacked Structure Learning for Lifted Relational Neural Networks
Gustav Sourek
M. Svatos
F. Železný
Steven Schockaert
Ondrej Kuzelka
49
10
0
05 Oct 2017
Adversarial Sets for Regularising Neural Link Predictors
Adversarial Sets for Regularising Neural Link Predictors
Pasquale Minervini
T. Demeester
Tim Rocktaschel
Sebastian Riedel
PINN
44
99
0
24 Jul 2017
End-to-End Differentiable Proving
End-to-End Differentiable Proving
Tim Rocktaschel
Sebastian Riedel
NAI
81
381
0
31 May 2017
Deep Learning for Ontology Reasoning
Deep Learning for Ontology Reasoning
Patrick Hohenecker
Thomas Lukasiewicz
LRM
BDL
33
33
0
29 May 2017
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
R. Speer
Joshua Chin
Catherine Havasi
130
2,882
0
12 Dec 2016
Discriminative Gaifman Models
Discriminative Gaifman Models
Mathias Niepert
TPM
41
42
0
28 Oct 2016
Lifted Rule Injection for Relation Embeddings
Lifted Rule Injection for Relation Embeddings
T. Demeester
Tim Rocktaschel
Sebastian Riedel
NAI
43
144
0
27 Jun 2016
STransE: a novel embedding model of entities and relationships in
  knowledge bases
STransE: a novel embedding model of entities and relationships in knowledge bases
Dat Quoc Nguyen
Kairit Sirts
Zhuang Li
Mark Johnson
47
181
0
27 Jun 2016
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
76
2,955
0
20 Jun 2016
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text
  Descriptions
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions
Han Xiao
Minlie Huang
Xiaoyan Zhu
46
187
0
17 Apr 2016
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
72
3,174
0
20 Dec 2014
1