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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"

39 / 839 papers shown
Title
Recurrent Skipping Networks for Entity Alignment
Recurrent Skipping Networks for Entity Alignment
Lingbing Guo
Zhenyi Ying
E. Cao
Wei Hu
13
6
0
06 Nov 2018
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via
  Network Infused Embeddings
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings
Hao Yu
Vivek Kulkarni
Wenjie Wang
19
2
0
01 Nov 2018
DOLORES: Deep Contextualized Knowledge Graph Embeddings
DOLORES: Deep Contextualized Knowledge Graph Embeddings
Haoyu Wang
Vivek Kulkarni
William Yang Wang
HAI
AI4CE
31
29
0
31 Oct 2018
DSKG: A Deep Sequential Model for Knowledge Graph Completion
DSKG: A Deep Sequential Model for Knowledge Graph Completion
Lingbing Guo
Qingheng Zhang
Weiyi Ge
Wei Hu
Yuzhong Qu
21
21
0
30 Oct 2018
On Evaluating Embedding Models for Knowledge Base Completion
On Evaluating Embedding Models for Knowledge Base Completion
Yanjie Wang
Daniel Ruffinelli
Rainer Gemulla
Samuel Broscheit
Christian Meilicke
24
47
0
17 Oct 2018
Feature Learning for Meta-Paths in Knowledge Graphs
Feature Learning for Meta-Paths in Knowledge Graphs
Sebastian Bischoff
36
0
0
07 Sep 2018
Embedding Multimodal Relational Data for Knowledge Base Completion
Embedding Multimodal Relational Data for Knowledge Base Completion
Pouya Pezeshkpour
Liyan Chen
Sameer Singh
25
125
0
05 Sep 2018
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Xi Lin
R. Socher
Caiming Xiong
LRM
32
331
0
31 Aug 2018
One-Shot Relational Learning for Knowledge Graphs
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
26
215
0
27 Aug 2018
Predicting Semantic Relations using Global Graph Properties
Predicting Semantic Relations using Global Graph Properties
Yuval Pinter
Jacob Eisenstein
6
22
0
27 Aug 2018
Hypernetwork Knowledge Graph Embeddings
Hypernetwork Knowledge Graph Embeddings
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
GNN
13
180
0
21 Aug 2018
A Capsule Network-based Embedding Model for Knowledge Graph Completion
  and Search Personalization
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization
Dai Quoc Nguyen
Thanh Tien Vu
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
GNN
3DPC
KELM
27
231
0
13 Aug 2018
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network
Kai Wang
Yu Liu
Xiujuan Xu
Dan Lin
GNN
26
18
0
11 Aug 2018
Global and local evaluation of link prediction tasks with neural
  embeddings
Global and local evaluation of link prediction tasks with neural embeddings
Asan Agibetov
Matthias Samwald
33
10
0
27 Jul 2018
A Comparative Study of Distributional and Symbolic Paradigms for
  Relational Learning
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
Sebastijan Dumancic
Alberto García-Durán
Mathias Niepert
NAI
27
7
0
29 Jun 2018
Jack the Reader - A Machine Reading Framework
Jack the Reader - A Machine Reading Framework
Dirk Weissenborn
Pasquale Minervini
Tim Dettmers
Isabelle Augenstein
Johannes Welbl
...
Matko Bosnjak
Jeff Mitchell
Thomas Demeester
Pontus Stenetorp
Sebastian Riedel
25
13
0
20 Jun 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix
Nicolas Usunier
G. Obozinski
14
382
0
19 Jun 2018
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for
  Cross-lingual Entity Alignment
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment
Muhao Chen
Yingtao Tian
Kai-Wei Chang
Steven Skiena
C. Zaniolo
20
238
0
18 Jun 2018
Interpretable and Compositional Relation Learning by Joint Training with
  an Autoencoder
Interpretable and Compositional Relation Learning by Joint Training with an Autoencoder
Ryo Takahashi
Ran Tian
Kentaro Inui
CoGe
BDL
19
14
0
24 May 2018
Adversarial Contrastive Estimation
Adversarial Contrastive Estimation
A. Bose
Huan Ling
Yanshuai Cao
13
56
0
09 May 2018
Improving Knowledge Graph Embedding Using Simple Constraints
Improving Knowledge Graph Embedding Using Simple Constraints
Boyang Ding
Quan Wang
Bin Wang
Li Guo
30
132
0
07 May 2018
Commonsense mining as knowledge base completion? A study on the impact
  of novelty
Commonsense mining as knowledge base completion? A study on the impact of novelty
Stanislaw Jastrzebski
Dzmitry Bahdanau
Seyedarian Hosseini
Michael Noukhovitch
Yoshua Bengio
Jackie C.K. Cheung
19
27
0
24 Apr 2018
Referring Relationships
Referring Relationships
Ranjay Krishna
Ines Chami
Michael S. Bernstein
Li Fei-Fei
30
94
0
28 Mar 2018
SimplE Embedding for Link Prediction in Knowledge Graphs
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi
David Poole
47
704
0
13 Feb 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen
Jianshu Chen
Po-Sen Huang
Yuqing Guo
Jianfeng Gao
29
127
0
12 Feb 2018
Investigations on Knowledge Base Embedding for Relation Prediction and
  Extraction
Investigations on Knowledge Base Embedding for Relation Prediction and Extraction
Peng Xu
Denilson Barbosa
19
6
0
06 Feb 2018
Incorporating Literals into Knowledge Graph Embeddings
Incorporating Literals into Knowledge Graph Embeddings
Agustinus Kristiadi
M. A. Khan
Denis Lukovnikov
Jens Lehmann
Asja Fischer
KELM
15
93
0
03 Feb 2018
Knowledge Graph Embedding with Multiple Relation Projections
Knowledge Graph Embedding with Multiple Relation Projections
Kien Do
T. Tran
Svetha Venkatesh
16
25
0
26 Jan 2018
Inducing Interpretability in Knowledge Graph Embeddings
Inducing Interpretability in Knowledge Graph Embeddings
Chandrahas
Tathagata Sengupta
Cibi Pragadeesh
Partha P. Talukdar
8
6
0
10 Dec 2017
A Novel Embedding Model for Knowledge Base Completion Based on
  Convolutional Neural Network
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
Dai Quoc Nguyen
T. Nguyen
Dat Quoc Nguyen
Dinh Q. Phung
3DV
31
699
0
06 Dec 2017
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in
  Knowledge Bases using Reinforcement Learning
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das
S. Dhuliawala
Manzil Zaheer
Luke Vilnis
Ishan Durugkar
A. Krishnamurthy
Alex Smola
Andrew McCallum
KELM
40
507
0
15 Nov 2017
Revisiting Simple Neural Networks for Learning Representations of
  Knowledge Graphs
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs
Srinivas Ravishankar
Chandrahas
Partha P. Talukdar
20
10
0
15 Nov 2017
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
Fast Linear Model for Knowledge Graph Embeddings
Fast Linear Model for Knowledge Graph Embeddings
Armand Joulin
Edouard Grave
Piotr Bojanowski
Maximilian Nickel
Tomas Mikolov
24
40
0
30 Oct 2017
KBLRN : End-to-End Learning of Knowledge Base Representations with
  Latent, Relational, and Numerical Features
KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features
Alberto García-Durán
Mathias Niepert
BDL
8
104
0
14 Sep 2017
A survey of embedding models of entities and relationships for knowledge
  graph completion
A survey of embedding models of entities and relationships for knowledge graph completion
Dat Quoc Nguyen
27
100
0
23 Mar 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
M. Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
97
4,745
0
17 Mar 2017
KSR: A Semantic Representation of Knowledge Graph within a Novel
  Unsupervised Paradigm
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm
Han Xiao
Minlie Huang
Xiaoyan Zhu
34
6
0
27 Aug 2016
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
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