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Convolutional 2D Knowledge Graph Embeddings

Convolutional 2D Knowledge Graph Embeddings

5 July 2017
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
    GNN
    3DV
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Papers citing "Convolutional 2D Knowledge Graph Embeddings"

50 / 839 papers shown
Title
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
William W. Cohen
Haitian Sun
R. A. Hofer
M. Siegler
30
61
0
14 Feb 2020
RDFFrames: Knowledge Graph Access for Machine Learning Tools
RDFFrames: Knowledge Graph Access for Machine Learning Tools
Aisha Mohamed
Ghadeer Abuoda
Abdurrahman Ghanem
Zoi Kaoudi
Ashraf Aboulnaga
16
14
0
10 Feb 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
22
342
0
03 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
200
1,944
0
02 Feb 2020
The Tensor Brain: Semantic Decoding for Perception and Memory
The Tensor Brain: Semantic Decoding for Perception and Memory
Volker Tresp
Sahand Sharifzadeh
Dario Konopatzki
Yunpu Ma
13
8
0
29 Jan 2020
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a
  Focus on Reproducibility and Transferability
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability
Mehdi Ali
Hajira Jabeen
Charles Tapley Hoyt
Jens Lehmann
9
16
0
28 Jan 2020
Incorporating Joint Embeddings into Goal-Oriented Dialogues with
  Multi-Task Learning
Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning
Firas Kassawat
Debanjan Chaudhuri
Jens Lehmann
AuLLM
8
7
0
28 Jan 2020
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge
  Graphs
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs
Marcel Hildebrandt
Jorge Andres Quintero Serna
Yunpu Ma
Martin Ringsquandl
Mitchell Joblin
Volker Tresp
15
1
0
09 Jan 2020
Reasoning on Knowledge Graphs with Debate Dynamics
Reasoning on Knowledge Graphs with Debate Dynamics
Marcel Hildebrandt
Jorge Andres Quintero Serna
Yunpu Ma
Martin Ringsquandl
Mitchell Joblin
Volker Tresp
18
51
0
02 Jan 2020
Probability Calibration for Knowledge Graph Embedding Models
Probability Calibration for Knowledge Graph Embedding Models
Pedro Tabacof
Luca Costabello
14
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
88
0
17 Dec 2019
OpenBioLink: A benchmarking framework for large-scale biomedical link
  prediction
OpenBioLink: A benchmarking framework for large-scale biomedical link prediction
Anna Breit
Simon Ott
Asan Agibetov
Matthias Samwald
LM&MA
39
55
0
10 Dec 2019
Cooperative Reasoning on Knowledge Graph and Corpus: A
  Multi-agentReinforcement Learning Approach
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach
Yunan Zhang
Xiang Cheng
Heting Gao
Chengxiang Zhai
LRM
13
3
0
04 Dec 2019
Binarized Canonical Polyadic Decomposition for Knowledge Graph
  Completion
Binarized Canonical Polyadic Decomposition for Knowledge Graph Completion
Koki Kishimoto
Katsuhiko Hayashi
Genki Akai
Masashi Shimbo
16
1
0
04 Dec 2019
Towards Building a Multilingual Sememe Knowledge Base: Predicting
  Sememes for BabelNet Synsets
Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets
Fanchao Qi
Li-Hsin Chang
Maosong Sun
Sicong Ouyang
Zhiyuan Liu
16
19
0
04 Dec 2019
Integrating Graph Contextualized Knowledge into Pre-trained Language
  Models
Integrating Graph Contextualized Knowledge into Pre-trained Language Models
Bin He
Di Zhou
Jinghui Xiao
Xin jiang
Qun Liu
Nicholas Jing Yuan
Tong Xu
AI4CE
22
77
0
30 Nov 2019
Few-Shot Knowledge Graph Completion
Few-Shot Knowledge Graph Completion
Chuxu Zhang
Huaxiu Yao
Chao Huang
Meng Jiang
Z. Li
Nitesh Chawla
11
195
0
26 Nov 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
379
0
21 Nov 2019
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood
  Aggregation
Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation
Zequn Sun
Chengming Wang
Wei Hu
Muhao Chen
Jian Dai
Wei Zhang
Yuzhong Qu
31
322
0
20 Nov 2019
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Rule-Guided Compositional Representation Learning on Knowledge Graphs
Guanglin Niu
Yongfei Zhang
Bo Li
Peng Cui
Si Liu
Jingyang Li
Xiaowei Zhang
27
58
0
20 Nov 2019
Interstellar: Searching Recurrent Architecture for Knowledge Graph
  Embedding
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
Yongqi Zhang
Quanming Yao
Lei Chen
30
4
0
17 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning
Inductive Relation Prediction by Subgraph Reasoning
Komal K. Teru
E. Denis
William L. Hamilton
NAI
AI4CE
29
388
0
16 Nov 2019
CNN-based Dual-Chain Models for Knowledge Graph Learning
CNN-based Dual-Chain Models for Knowledge Graph Learning
B. Peng
Martin Renqiang Min
Xia Ning
GNN
20
0
0
15 Nov 2019
Learning to Order Sub-questions for Complex Question Answering
Learning to Order Sub-questions for Complex Question Answering
Yunan Zhang
Xiang Cheng
Yufeng Zhang
Zihan Wang
Zhen Fang
Xiaoyang Wang
Zhenya Huang
Chengxiang Zhai
OffRL
16
1
0
11 Nov 2019
Decompressing Knowledge Graph Representations for Link Prediction
Decompressing Knowledge Graph Representations for Link Prediction
Xiang Kong
Xianyang Chen
Eduard H. Hovy
AI4CE
13
5
0
11 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
21
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
816
0
08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing
Neural Graph Embedding Methods for Natural Language Processing
Shikhar Vashishth
GNN
25
9
0
08 Nov 2019
CoKE: Contextualized Knowledge Graph Embedding
CoKE: Contextualized Knowledge Graph Embedding
Quan Wang
Pingping Huang
Haifeng Wang
Songtai Dai
Wenbin Jiang
Jing Liu
Yajuan Lyu
Yong Zhu
Hua Wu
27
84
0
06 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
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
DRUM: End-To-End Differentiable Rule Mining On Knowledge Graphs
A. Sadeghian
Mohammadreza Armandpour
P. Ding
D. Wang
25
307
0
31 Oct 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
Using Pairwise Occurrence Information to Improve Knowledge Graph
  Completion on Large-Scale Datasets
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets
Esma Balkir
Masha Naslidnyk
Dave Palfrey
Arpit Mittal
17
5
0
25 Oct 2019
Efficiently Embedding Dynamic Knowledge Graphs
Efficiently Embedding Dynamic Knowledge Graphs
Tianxing Wu
Arijit Khan
Melvin Yong
Huan Gao
Cheng Li
27
65
0
15 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
19
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
Interpreting Knowledge Graph Relation Representation from Word
  Embeddings
Interpreting Knowledge Graph Relation Representation from Word Embeddings
Carl Allen
Ivana Balazevic
Timothy M. Hospedales
22
9
0
25 Sep 2019
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge
  Graph Reasoning
Dynamically Pruned Message Passing Networks for Large-Scale Knowledge Graph Reasoning
Xiaoran Xu
Wei Feng
Yunsheng Jiang
Xiaohui Xie
Zhiqing Sun
Zhihong Deng
LRM
19
53
0
25 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
656
0
09 Sep 2019
Combination of Unified Embedding Model and Observed Features for
  Knowledge Graph Completion
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion
Takuma Ebisu
R. Ichise
17
0
0
09 Sep 2019
KG-BERT: BERT for Knowledge Graph Completion
KG-BERT: BERT for Knowledge Graph Completion
Liang Yao
Chengsheng Mao
Yuan Luo
SLR
25
576
0
07 Sep 2019
Meta Relational Learning for Few-Shot Link Prediction in Knowledge
  Graphs
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Mingyang Chen
Wen Zhang
Wei Zhang
Qiang Chen
Huajun Chen
KELM
29
185
0
04 Sep 2019
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language
  Model and Graph Convolutional Network
Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network
Jiaying Zhang
Zhixing Zhang
Huanhuan Zhang
Zhiyuan Ma
Yangming Zhou
Ping He
MedIm
6
0
0
02 Sep 2019
Toward Understanding The Effect Of Loss function On Then Performance Of
  Knowledge Graph Embedding
Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding
M. Nayyeri
Chengjin Xu
Yadollah Yaghoobzadeh
H. S. Yazdi
Jens Lehmann
19
5
0
02 Sep 2019
Commonsense Knowledge Mining from Pretrained Models
Commonsense Knowledge Mining from Pretrained Models
Joshua Feldman
Joe Davison
Alexander M. Rush
SSL
19
329
0
02 Sep 2019
Collaborative Policy Learning for Open Knowledge Graph Reasoning
Collaborative Policy Learning for Open Knowledge Graph Reasoning
Cong Fu
Tong Chen
Meng Qu
Woojeong Jin
Xiang Ren
LRM
8
55
0
31 Aug 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over
  Few-Shot Relations
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
Xin Lv
Yuxian Gu
Xu Han
Lei Hou
Juan-Zi Li
Zhiyuan Liu
LRM
20
86
0
30 Aug 2019
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge
  Graphs and Behavior-specific Networks
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
Yuting Ye
Xuwu Wang
Jiangchao Yao
Kunyang Jia
Jingren Zhou
Yanghua Xiao
Hongxia Yang
BDL
17
26
0
28 Aug 2019
TERA: the Toxicological Effect and Risk Assessment Knowledge Graph
TERA: the Toxicological Effect and Risk Assessment Knowledge Graph
E. B. Myklebust
Ernesto Jiménez-Ruiz
Jiaoyan Chen
Raoul Wolf
K. Tollefsen
11
1
0
27 Aug 2019
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