ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1707.01476
  4. Cited By
Convolutional 2D Knowledge Graph Embeddings
v1v2v3v4v5v6 (latest)

Convolutional 2D Knowledge Graph Embeddings

5 July 2017
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
    GNN3DV
ArXiv (abs)PDFHTML

Papers citing "Convolutional 2D Knowledge Graph Embeddings"

50 / 847 papers shown
Title
Prix-LM: Pretraining for Multilingual Knowledge Base Construction
Prix-LM: Pretraining for Multilingual Knowledge Base Construction
Wenxuan Zhou
Fangyu Liu
Ivan Vulić
Nigel Collier
Muhao Chen
KELM
127
19
0
16 Oct 2021
Rule Induction in Knowledge Graphs Using Linear Programming
Rule Induction in Knowledge Graphs Using Linear Programming
S. Dash
Joao Goncalves
83
5
0
15 Oct 2021
Network Representation Learning: From Preprocessing, Feature Extraction
  to Node Embedding
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou
Ling Liu
Wenqi Wei
Jianxi Fan
AI4TS
102
77
0
14 Oct 2021
Relation Prediction as an Auxiliary Training Objective for Improving
  Multi-Relational Graph Representations
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Yihong Chen
Pasquale Minervini
Sebastian Riedel
Pontus Stenetorp
139
47
0
06 Oct 2021
Cycle Representation Learning for Inductive Relation Prediction
Cycle Representation Learning for Inductive Relation Prediction
Zuoyu Yan
Tengfei Ma
Liangcai Gao
Zhi Tang
Chao Chen
103
22
0
06 Oct 2021
Learning Sense-Specific Static Embeddings using Contextualised Word
  Embeddings as a Proxy
Learning Sense-Specific Static Embeddings using Contextualised Word Embeddings as a Proxy
Yi Zhou
Danushka Bollegala
77
9
0
05 Oct 2021
A Survey of Knowledge Enhanced Pre-trained Models
A Survey of Knowledge Enhanced Pre-trained Models
Jian Yang
Xinyu Hu
Gang Xiao
Yulong Shen
KELM
88
6
0
01 Oct 2021
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
BiQUE: Biquaternionic Embeddings of Knowledge Graphs
Jia Guo
Stanley Kok
373
31
0
29 Sep 2021
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic
  Decoding
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding
Volker Tresp
Sahand Sharifzadeh
Hang Li
Dario Konopatzki
Yunpu Ma
73
6
0
27 Sep 2021
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A
  Semantic Evidence View
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
Ren Li
Yanan Cao
Qiannan Zhu
Guanqun Bi
Fang Fang
Yi Liu
Qian Li
65
72
0
24 Sep 2021
Temporal Knowledge Graph Completion using Box Embeddings
Temporal Knowledge Graph Completion using Box Embeddings
Johannes Messner
Ralph Abboud
.Ismail .Ilkan Ceylan
98
106
0
18 Sep 2021
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base
  Completion
Combining Rules and Embeddings via Neuro-Symbolic AI for Knowledge Base Completion
Prithviraj Sen
B. W. Carvalho
Ibrahim Abdelaziz
Pavan Kapanipathi
F. Luus
Salim Roukos
Alexander G. Gray
NAI
94
6
0
16 Sep 2021
SAFRAN: An interpretable, rule-based link prediction method
  outperforming embedding models
SAFRAN: An interpretable, rule-based link prediction method outperforming embedding models
Simon Ott
Christian Meilicke
Matthias Samwald
AI4CE
63
30
0
16 Sep 2021
Meta-Path-based Fake News Detection Leveraging Multi-level Social
  Context Information
Meta-Path-based Fake News Detection Leveraging Multi-level Social Context Information
Jian Cui
Kwanwoo Kim
S. Na
Seung-Eui Shin
72
26
0
13 Sep 2021
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
r-GAT: Relational Graph Attention Network for Multi-Relational Graphs
Meiqi Chen
Yuan Zhang
Xiaoyu Kou
Yuntao Li
Yan Zhang
GNN
53
16
0
13 Sep 2021
Integrating Approaches to Word Representation
Integrating Approaches to Word Representation
Yuval Pinter
NAI
94
5
0
10 Sep 2021
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph
  Forecasting
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Haohai Sun
Jialu Zhong
Yunpu Ma
Zhen Han
Kun He
AI4TS
121
160
0
09 Sep 2021
Knowledge Base Completion Meets Transfer Learning
Knowledge Base Completion Meets Transfer Learning
Vid Kocijan
Thomas Lukasiewicz
72
5
0
30 Aug 2021
A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp
  Distribution
A Temporal Knowledge Graph Completion Method Based on Balanced Timestamp Distribution
Kangzheng Liu
Yuhong Zhang
65
3
0
30 Aug 2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention
  Network
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
Junkang Wu
Wentao Shi
Xuezhi Cao
Jiawei Chen
Wenqiang Lei
Fuzheng Zhang
Wei Wu
Xiangnan He
111
70
0
22 Aug 2021
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs
Yao Zhang
Peiyao Li
Hongru Liang
Adam Jatowt
Zhenglu Yang
ReLM
56
5
0
17 Aug 2021
Knowledge Graph Reasoning with Relational Digraph
Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang
Quanming Yao
GNN
91
129
0
13 Aug 2021
Are Missing Links Predictable? An Inferential Benchmark for Knowledge
  Graph Completion
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion
Yixin Cao
Xiang Ji
Xin Lv
Juan-Zi Li
Yonggang Wen
Hanwang Zhang
117
27
0
03 Aug 2021
KG4Vis: A Knowledge Graph-Based Approach for Visualization
  Recommendation
KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
Haotian Li
Yong Wang
Songheng Zhang
Yangqiu Song
Huamin Qu
104
86
0
27 Jul 2021
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Subgraph-aware Few-Shot Inductive Link Prediction via Meta-Learning
Shuangjia Zheng
Sijie Mai
Ya Sun
Haifeng Hu
Yuedong Yang
76
23
0
26 Jul 2021
A Survey of Knowledge Graph Embedding and Their Applications
A Survey of Knowledge Graph Embedding and Their Applications
Shivani Choudhary
Tarun Luthra
Ashima Mittal
Rajat Singh
89
53
0
16 Jul 2021
EchoEA: Echo Information between Entities and Relations for Entity
  Alignment
EchoEA: Echo Information between Entities and Relations for Entity Alignment
X. Lin
E. Haihong
Wenyu Song
Haoran Luo
75
4
0
07 Jul 2021
Bilinear Scoring Function Search for Knowledge Graph Learning
Bilinear Scoring Function Search for Knowledge Graph Learning
Yongqi Zhang
Quanming Yao
James T. Kwok
57
21
0
01 Jul 2021
Convolutional Hypercomplex Embeddings for Link Prediction
Convolutional Hypercomplex Embeddings for Link Prediction
Caglar Demir
Diego Moussallem
Stefan Heindorf
A. N. Ngomo
74
19
0
29 Jun 2021
Pairing Conceptual Modeling with Machine Learning
Pairing Conceptual Modeling with Machine Learning
W. Maass
V. Storey
HAI
55
36
0
27 Jun 2021
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of
  Translational Link Prediction Methods
KGRefiner: Knowledge Graph Refinement for Improving Accuracy of Translational Link Prediction Methods
Mohammad Javad Saeedizade
Najmeh Torabian
B. Minaei-Bidgoli
29
5
0
27 Jun 2021
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
Chandrahas
Partha P. Talukdar
69
15
0
24 Jun 2021
NodePiece: Compositional and Parameter-Efficient Representations of
  Large Knowledge Graphs
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs
Mikhail Galkin
E. Denis
Jiapeng Wu
William L. Hamilton
OCL
83
90
0
23 Jun 2021
Node Classification Meets Link Prediction on Knowledge Graphs
Node Classification Meets Link Prediction on Knowledge Graphs
Ralph Abboud
.Ismail .Ilkan Ceylan
41
3
0
14 Jun 2021
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling:
  With Case Study for Knowledge Graph Embedding
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
Hidetaka Kamigaito
Katsuhiko Hayashi
81
11
0
14 Jun 2021
Neural Bellman-Ford Networks: A General Graph Neural Network Framework
  for Link Prediction
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu
Zuobai Zhang
Louis-Pascal Xhonneux
Jian Tang
GNN
101
329
0
13 Jun 2021
Inter-domain Multi-relational Link Prediction
Inter-domain Multi-relational Link Prediction
Luu Huu Phuc
Koh Takeuchi
Seiji Okajima
A. Tolmachev
T. Takebayashi
Koji Maruhashi
H. Kashima
72
0
0
11 Jun 2021
Timestamping Documents and Beliefs
Timestamping Documents and Beliefs
Swayambhu Nath Ray
42
1
0
09 Jun 2021
Representing Syntax and Composition with Geometric Transformations
Representing Syntax and Composition with Geometric Transformations
Lorenzo Bertolini
Julie Weeds
David J. Weir
Qiwei Peng
57
2
0
03 Jun 2021
A Systematic Investigation of KB-Text Embedding Alignment at Scale
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Vardaan Pahuja
Yu Gu
Wenhu Chen
M. Bahrami
Lei Liu
Wei-Peng Chen
Yu-Chuan Su
36
2
0
03 Jun 2021
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties
  of Non-Gaussian Distributions
Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions
Rohan Giriraj
Sinnu Susan Thomas
CML
56
0
0
02 Jun 2021
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
136
5
0
01 Jun 2021
Search from History and Reason for Future: Two-stage Reasoning on
  Temporal Knowledge Graphs
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs
Zixuan Li
Xiaolong Jin
Saiping Guan
Wei Li
Jiafeng Guo
Yuanzhuo Wang
Xueqi Cheng
98
110
0
01 Jun 2021
Out-of-Vocabulary Entities in Link Prediction
Out-of-Vocabulary Entities in Link Prediction
Caglar Demir
A. N. Ngomo
49
5
0
26 May 2021
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
QuatDE: Dynamic Quaternion Embedding for Knowledge Graph Completion
Haipeng Gao
Kun Yang
Yuxue Yang
R. Zakari
Jim Wilson Owusu
Ke Qin
78
20
0
19 May 2021
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
Sumit Pai
Luca Costabello
102
18
0
18 May 2021
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Link Prediction on N-ary Relational Facts: A Graph-based Approach
Quan Wang
Haifeng Wang
Yajuan Lyu
Yong Zhu
95
49
0
18 May 2021
Understanding the Performance of Knowledge Graph Embeddings in Drug
  Discovery
Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery
Stephen Bonner
Ian P Barrett
Cheng Ye
Rowan Swiers
Ola Engkvist
Charles Tapley Hoyt
William L. Hamilton
131
52
0
17 May 2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Farhad Moghimifar
Zhuang Li
Terry Yue Zhuo
Gholamreza Haffari
Mahsa Baktashmotlagh
ReLMNAILRM
64
11
0
14 May 2021
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
Billion-scale Pre-trained E-commerce Product Knowledge Graph Model
Wen Zhang
Chi-Man Wong
Ganqiang Ye
Bo Wen
Wei Zhang
Huajun Chen
56
23
0
02 May 2021
Previous
123...101112...151617
Next