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Complex Embeddings for Simple Link Prediction

Complex Embeddings for Simple Link Prediction

20 June 2016
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
    BDL
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Papers citing "Complex Embeddings for Simple Link Prediction"

50 / 396 papers shown
Title
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
43
177
0
13 Jul 2020
TransINT: Embedding Implication Rules in Knowledge Graphs with
  Isomorphic Intersections of Linear Subspaces
TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces
So Yeon Min
Preethi Raghavan
Peter Szolovits
21
1
0
01 Jul 2020
A Simple Approach to Case-Based Reasoning in Knowledge Bases
A Simple Approach to Case-Based Reasoning in Knowledge Bases
Rajarshi Das
Ameya Godbole
Shehzaad Dhuliawala
Manzil Zaheer
Andrew McCallum
26
24
0
25 Jun 2020
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph
  Link Prediction
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction
Jinheon Baek
Dong Bok Lee
Sung Ju Hwang
19
88
0
11 Jun 2020
5* Knowledge Graph Embeddings with Projective Transformations
5* Knowledge Graph Embeddings with Projective Transformations
M. Nayyeri
S. Vahdati
Can Aykul
Jens Lehmann
31
31
0
08 Jun 2020
Relational Learning Analysis of Social Politics using Knowledge Graph
  Embedding
Relational Learning Analysis of Social Politics using Knowledge Graph Embedding
Bilal Abu-Salih
Marwan Al-Tawil
Ibrahim Aljarah
Hossam Faris
P. Wongthongtham
28
59
0
02 Jun 2020
Benchmarking neural embeddings for link prediction in knowledge graphs
  under semantic and structural changes
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes
Asan Agibetov
Matthias Samwald
39
8
0
15 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
91
2,666
0
02 May 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
Out-of-Sample Representation Learning for Multi-Relational Graphs
Out-of-Sample Representation Learning for Multi-Relational Graphs
Marjan Albooyeh
Rishab Goel
Seyed Mehran Kazemi
OOD
29
3
0
28 Apr 2020
What is Normal, What is Strange, and What is Missing in a Knowledge
  Graph: Unified Characterization via Inductive Summarization
What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization
Caleb Belth
Xinyi Zheng
Jilles Vreeken
Danai Koutra
30
43
0
23 Mar 2020
Realistic Re-evaluation of Knowledge Graph Completion Methods: An
  Experimental Study
Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study
F. Akrami
Mohammed Samiul Saeef
Qingheng Zhang
Wei Hu
Chengkai Li
KELM
16
109
0
18 Mar 2020
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Towards Learning Instantiated Logical Rules from Knowledge Graphs
Yulong Gu
Yushi Guan
P. Missier
AI4CE
22
13
0
13 Mar 2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge
  Graphs
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun
Qingheng Zhang
Wei Hu
Chengming Wang
Muhao Chen
F. Akrami
Chengkai Li
27
242
0
10 Mar 2020
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Knowledge Graph Embedding for Link Prediction: A Comparative Analysis
Andrea Rossi
D. Firmani
Antonio Matinata
P. Merialdo
Denilson Barbosa
27
343
0
03 Feb 2020
Dynamic Parameter Allocation in Parameter Servers
Dynamic Parameter Allocation in Parameter Servers
Alexander Renz-Wieland
Rainer Gemulla
Steffen Zeuch
Volker Markl
11
17
0
03 Feb 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Efficient Probabilistic Logic Reasoning with Graph Neural Networks
Yuyu Zhang
Xinshi Chen
Yu’an Yang
Arun Ramamurthy
Yue Liu
Yuan Qi
Le Song
AI4CE
17
111
0
29 Jan 2020
Correcting Knowledge Base Assertions
Correcting Knowledge Base Assertions
Jiaoyan Chen
Xi Chen
Ian Horrocks
Ernesto Jiménez-Ruiz
E. B. Myklebust
11
21
0
19 Jan 2020
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
Navdeep Kaur
Gautam Kunapuli
Sriraam Natarajan
21
4
0
09 Jan 2020
Quantum Machine Learning Algorithm for Knowledge Graphs
Quantum Machine Learning Algorithm for Knowledge Graphs
Yunpu Ma
Volker Tresp
27
11
0
04 Jan 2020
Encoding word order in complex embeddings
Encoding word order in complex embeddings
Benyou Wang
Donghao Zhao
Christina Lioma
Qiuchi Li
Peng Zhang
J. Simonsen
19
111
0
27 Dec 2019
Probability Calibration for Knowledge Graph Embedding Models
Probability Calibration for Knowledge Graph Embedding Models
Pedro Tabacof
Luca Costabello
19
46
0
20 Dec 2019
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Pasquale Minervini
Matko Bovsnjak
Tim Rocktaschel
Sebastian Riedel
Edward Grefenstette
LRM
24
89
0
17 Dec 2019
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang
Jianyu Cai
Yongdong Zhang
Jie Wang
43
380
0
21 Nov 2019
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 Re-evaluation of Knowledge Graph Completion Methods
A Re-evaluation of Knowledge Graph Completion Methods
Zhiqing Sun
Shikhar Vashishth
Soumya Sanyal
Partha P. Talukdar
Yiming Yang
17
168
0
10 Nov 2019
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Relation Adversarial Network for Low Resource Knowledge Graph Completion
Ningyu Zhang
Shumin Deng
Zhanlin Sun
Jiaoayan Chen
Wei Zhang
Huajun Chen
24
71
0
08 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
22
819
0
08 Nov 2019
Infusing Knowledge into the Textual Entailment Task Using Graph
  Convolutional Networks
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks
Pavan Kapanipathi
Veronika Thost
S. Patel
Spencer Whitehead
Ibrahim Abdelaziz
...
R. Chulaka Gunasekara
B. Makni
Nicholas Mattei
Kartik Talamadupula
Achille Fokoue
42
45
0
05 Nov 2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by
  Increasing Feature Interactions
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Nilesh Agrawal
Partha P. Talukdar
16
336
0
01 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
Knowledge-based Biomedical Data Science 2019
Knowledge-based Biomedical Data Science 2019
Tiffany J. Callahan
Harrison Pielke-Lombardo
Ignacio J. Tripodi
Lawrence E. Hunter
AI4CE
21
36
0
08 Oct 2019
Commonsense Knowledge Base Completion with Structural and Semantic
  Context
Commonsense Knowledge Base Completion with Structural and Semantic Context
Chaitanya Malaviya
Chandra Bhagavatula
Antoine Bosselut
Yejin Choi
35
138
0
07 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional
  Networks for Link Prediction
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction
Ling Cai
Bo Yan
Gengchen Mai
K. Janowicz
Rui Zhu
GNN
22
75
0
01 Oct 2019
Representation Learning with Ordered Relation Paths for Knowledge Graph
  Completion
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
Yao Zhu
Hongzhi Liu
Zhonghai Wu
Yang Song
Tao Zhang
30
20
0
26 Sep 2019
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph
  Completion
Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion
Zihao Wang
K. Lai
Piji Li
Lidong Bing
W. Lam
19
33
0
25 Sep 2019
HyperLearn: A Distributed Approach for Representation Learning in
  Datasets With Many Modalities
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities
Devanshu Arya
S. Rudinac
M. Worring
23
11
0
19 Sep 2019
Knowledge Enhanced Contextual Word Representations
Knowledge Enhanced Contextual Word Representations
Matthew E. Peters
Mark Neumann
IV RobertL.Logan
Roy Schwartz
Vidur Joshi
Sameer Singh
Noah A. Smith
234
657
0
09 Sep 2019
Composing Knowledge Graph Embeddings via Word Embeddings
Composing Knowledge Graph Embeddings via Word Embeddings
Lianbo Ma
Peng Sun
Zhiwei Lin
Hui Wang
CoGe
36
10
0
09 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge
  Graphs
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Yin Hua
Wen Zhang
Wei Zhang
Qiang Chen
Huajun Chen
KELM
29
185
0
04 Sep 2019
Meta Reasoning over Knowledge Graphs
Meta Reasoning over Knowledge Graphs
Hong Wang
Wenhan Xiong
Mo Yu
Xiaoxiao Guo
Shiyu Chang
William Yang Wang
ReLM
LRM
42
8
0
13 Aug 2019
A Relational Memory-based Embedding Model for Triple Classification and
  Search Personalization
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization
Dai Quoc Nguyen
T. Nguyen
Dinh Q. Phung
KELM
27
22
0
13 Jul 2019
Diachronic Embedding for Temporal Knowledge Graph Completion
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel
Seyed Mehran Kazemi
Marcus A. Brubaker
Pascal Poupart
34
341
0
06 Jul 2019
Graph Star Net for Generalized Multi-Task Learning
Graph Star Net for Generalized Multi-Task Learning
H. Lu
Seth H. Huang
Tian Ye
Xiuyan Guo
GNN
33
46
0
21 Jun 2019
Neural Variational Inference For Estimating Uncertainty in Knowledge
  Graph Embeddings
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
Alexander I. Cowen-Rivers
Pasquale Minervini
Tim Rocktaschel
Matko Bosnjak
Sebastian Riedel
Jun Wang
BDL
33
4
0
12 Jun 2019
Lightweight and Efficient Neural Natural Language Processing with
  Quaternion Networks
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay
Aston Zhang
Anh Tuan Luu
J. Rao
Shuai Zhang
Shuohang Wang
Jie Fu
S. Hui
23
55
0
11 Jun 2019
Relational Reasoning using Prior Knowledge for Visual Captioning
Relational Reasoning using Prior Knowledge for Visual Captioning
Jingyi Hou
Xinxiao Wu
Yayun Qi
Wentian Zhao
Jiebo Luo
Yunde Jia
22
14
0
04 Jun 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge
  Graphs
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani
Jatin Chauhan
Charu Sharma
Manohar Kaul
31
483
0
04 Jun 2019
Knowledge Hypergraphs: Prediction Beyond Binary Relations
Knowledge Hypergraphs: Prediction Beyond Binary Relations
Bahare Fatemi
Perouz Taslakian
David Vazquez
David Poole
29
18
0
01 Jun 2019
Neural Consciousness Flow
Neural Consciousness Flow
Xiaoran Xu
Wei Feng
Zhiqing Sun
Zhihong Deng
GNN
AI4CE
27
2
0
30 May 2019
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