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Type-Constrained Representation Learning in Knowledge Graphs

Type-Constrained Representation Learning in Knowledge Graphs

11 August 2015
Denis Krompass
S. Baier
Volker Tresp
    NAI
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Papers citing "Type-Constrained Representation Learning in Knowledge Graphs"

26 / 26 papers shown
Title
Negative Sampling in Knowledge Graph Representation Learning: A Review
Negative Sampling in Knowledge Graph Representation Learning: A Review
Tiroshan Madushanka
R. Ichise
57
8
0
29 Feb 2024
How to Turn Your Knowledge Graph Embeddings into Generative Models
How to Turn Your Knowledge Graph Embeddings into Generative Models
Lorenzo Loconte
Nicola Di Mauro
Robert Peharz
Antonio Vergari
33
16
0
25 May 2023
LogicRec: Recommendation with Users' Logical Requirements
LogicRec: Recommendation with Users' Logical Requirements
Zhenwei Tang
Griffin Floto
Armin Toroghi
Shichao Pei
Xiangliang Zhang
Scott Sanner
36
3
0
23 Apr 2023
Treat Different Negatives Differently: Enriching Loss Functions with
  Domain and Range Constraints for Link Prediction
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
Nicolas Hubert
Pierre Monnin
Armelle Brun
D. Monticolo
29
4
0
01 Mar 2023
Exploiting Global Semantic Similarities in Knowledge Graphs by
  Relational Prototype Entities
Exploiting Global Semantic Similarities in Knowledge Graphs by Relational Prototype Entities
Xueliang Wang
Jiajun Chen
Feng Wu
Jie Wang
22
2
0
16 Jun 2022
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge
  Graph Completion
CAKE: A Scalable Commonsense-Aware Framework For Multi-View Knowledge Graph Completion
Guanglin Niu
Yue Liu
Yongfei Zhang
Shi Pu
33
43
0
25 Feb 2022
DegreEmbed: incorporating entity embedding into logic rule learning for
  knowledge graph reasoning
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
Haotian Li
Hongri Liu
Yao Wang
Guodong Xin
Yuliang Wei
21
1
0
18 Dec 2021
KGBoost: A Classification-based Knowledge Base Completion Method with
  Negative Sampling
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
Yun Cheng Wang
Xiou Ge
Bin Wang
C.-C. Jay Kuo
21
10
0
17 Dec 2021
Combining Inductive and Deductive Reasoning for Query Answering over
  Incomplete Knowledge Graphs
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs
Medina Andresel
T. Tran
Csaba Domokos
Pasquale Minervini
Daria Stepanova
27
1
0
26 Jun 2021
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Saiping Guan
Xiaolong Jin
Jiafeng Guo
Yuanzhuo Wang
Xueqi Cheng
39
27
0
21 Apr 2021
Universal Representation Learning of Knowledge Bases by Jointly
  Embedding Instances and Ontological Concepts
Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts
Junheng Hao
Muhao Chen
Wenchao Yu
Yizhou Sun
Wei Wang
18
166
0
15 Mar 2021
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph
  Completion
RatE: Relation-Adaptive Translating Embedding for Knowledge Graph Completion
Hao Huang
Guodong Long
Tao Shen
Jing Jiang
Chengqi Zhang
29
9
0
10 Oct 2020
AutoETER: Automated Entity Type Representation for Knowledge Graph
  Embedding
AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding
Guanglin Niu
Yue Liu
Yongfei Zhang
Shiliang Pu
Jingyang Li
27
20
0
25 Sep 2020
Convolutional Complex Knowledge Graph Embeddings
Convolutional Complex Knowledge Graph Embeddings
Caglar Demir
A. N. Ngomo
27
44
0
07 Aug 2020
Exploiting Structured Knowledge in Text via Graph-Guided Representation
  Learning
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning
Tao Shen
Yi Mao
Pengcheng He
Guodong Long
Adam Trischler
Weizhu Chen
22
63
0
29 Apr 2020
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Guanglin Niu
Yongfei Zhang
Yue Liu
Peng Cui
Si Liu
Jingyang Li
Xiaowei Zhang
27
58
0
20 Nov 2019
A Survey on Knowledge Graph Embeddings with Literals: Which model links
  better Literal-ly?
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?
Genet Asefa Gesese
Russa Biswas
Mehwish Alam
Harald Sack
30
82
0
28 Oct 2019
Unsupervised Hierarchical Grouping of Knowledge Graph Entities
Unsupervised Hierarchical Grouping of Knowledge Graph Entities
Sameh K. Mohamed
OCL
19
6
0
20 Aug 2019
Data-dependent Learning of Symmetric/Antisymmetric Relations for
  Knowledge Base Completion
Data-dependent Learning of Symmetric/Antisymmetric Relations for Knowledge Base Completion
Hitoshi Manabe
Katsuhiko Hayashi
Masashi Shimbo
16
11
0
25 Aug 2018
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
KBGAN: Adversarial Learning for Knowledge Graph Embeddings
Liwei Cai
William Yang Wang
GAN
38
276
0
11 Nov 2017
Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding
Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding
Zequn Sun
Wei Hu
Chengkai Li
27
431
0
16 Aug 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
89
2,575
0
05 Jul 2017
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation
  Learning with Confidence
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
32
95
0
09 May 2017
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
Lizhen Qu
Mark Johnson
29
181
0
27 Jun 2016
Neighborhood Mixture Model for Knowledge Base Completion
Neighborhood Mixture Model for Knowledge Base Completion
Dat Quoc Nguyen
Kairit Sirts
Lizhen Qu
Mark Johnson
35
42
0
21 Jun 2016
Combining Two And Three-Way Embeddings Models for Link Prediction in
  Knowledge Bases
Combining Two And Three-Way Embeddings Models for Link Prediction in Knowledge Bases
Alberto García-Durán
Antoine Bordes
Nicolas Usunier
Yves Grandvalet
18
63
0
02 Jun 2015
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