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Knowledge Graph Embedding: A Survey from the Perspective of
  Representation Spaces
v1v2 (latest)

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces

7 November 2022
Jiahang Cao
Jinyuan Fang
Zaiqiao Meng
Shangsong Liang
ArXiv (abs)PDFHTML

Papers citing "Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces"

17 / 117 papers shown
Title
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNNNAI
80
833
0
14 Mar 2017
On the Equivalence of Holographic and Complex Embeddings for Link
  Prediction
On the Equivalence of Holographic and Complex Embeddings for Link Prediction
Katsuhiko Hayashi
Masashi Shimbo
60
82
0
18 Feb 2017
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with
  Weak Supervision
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang
Jonathan Berant
Quoc V. Le
Kenneth D. Forbus
Ni Lao
NAI
122
406
0
31 Oct 2016
Image-embodied Knowledge Representation Learning
Image-embodied Knowledge Representation Learning
Ruobing Xie
Zhiyuan Liu
Huanbo Luan
Maosong Sun
175
219
0
22 Sep 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
659
29,154
0
09 Sep 2016
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
93
2,984
0
20 Jun 2016
Question Answering on Freebase via Relation Extraction and Textual
  Evidence
Question Answering on Freebase via Relation Extraction and Textual Evidence
Kun Xu
Siva Reddy
Yansong Feng
Songfang Huang
Dongyan Zhao
74
292
0
03 Mar 2016
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link
  Prediction
From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
Han Xiao
Minlie Huang
Xiaoyan Zhu
77
146
0
15 Dec 2015
Holographic Embeddings of Knowledge Graphs
Holographic Embeddings of Knowledge Graphs
Maximilian Nickel
Lorenzo Rosasco
T. Poggio
73
1,202
0
16 Oct 2015
TransA: An Adaptive Approach for Knowledge Graph Embedding
TransA: An Adaptive Approach for Knowledge Graph Embedding
Han Xiao
Minlie Huang
Yu Hao
Xiaoyan Zhu
75
144
0
18 Sep 2015
Modeling Relation Paths for Representation Learning of Knowledge Bases
Modeling Relation Paths for Representation Learning of Knowledge Bases
Yankai Lin
Zhiyuan Liu
Huanbo Luan
Maosong Sun
S. Rao
Song Liu
111
621
0
01 Jun 2015
A Review of Relational Machine Learning for Knowledge Graphs
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel
Kevin Patrick Murphy
Volker Tresp
E. Gabrilovich
189
1,578
0
02 Mar 2015
Word Representations via Gaussian Embedding
Word Representations via Gaussian Embedding
Luke Vilnis
Andrew McCallum
114
385
0
20 Dec 2014
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
107
3,203
0
20 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,388
0
03 Jun 2014
Irreflexive and Hierarchical Relations as Translations
Irreflexive and Hierarchical Relations as Translations
Antoine Bordes
Nicolas Usunier
Alberto García-Durán
Jason Weston
Oksana Yakhnenko
72
35
0
26 Apr 2013
A Semantic Matching Energy Function for Learning with Multi-relational
  Data
A Semantic Matching Energy Function for Learning with Multi-relational Data
Xavier Glorot
Antoine Bordes
Jason Weston
Yoshua Bengio
101
694
0
15 Jan 2013
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