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

Convolutional 2D Knowledge Graph Embeddings

5 July 2017
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
    GNN
    3DV
ArXivPDFHTML

Papers citing "Convolutional 2D Knowledge Graph Embeddings"

50 / 839 papers shown
Title
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
29
68
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
31
105
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
42
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
36
29
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
30
25
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
24
16
0
13 Sep 2021
Integrating Approaches to Word Representation
Integrating Approaches to Word Representation
Yuval Pinter
NAI
53
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
76
152
0
09 Sep 2021
Knowledge Base Completion Meets Transfer Learning
Knowledge Base Completion Meets Transfer Learning
Vid Kocijan
Thomas Lukasiewicz
18
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
27
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
26
67
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
22
5
0
17 Aug 2021
Knowledge Graph Reasoning with Relational Digraph
Knowledge Graph Reasoning with Relational Digraph
Yongqi Zhang
Quanming Yao
GNN
30
121
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
16
26
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
52
83
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
38
21
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
42
52
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
33
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
12
19
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
15
19
0
29 Jun 2021
Pairing Conceptual Modeling with Machine Learning
Pairing Conceptual Modeling with Machine Learning
W. Maass
V. Storey
HAI
27
33
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
27
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
34
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
28
86
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
16
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
21
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
33
300
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
48
0
0
11 Jun 2021
Timestamping Documents and Beliefs
Timestamping Documents and Beliefs
Swayambhu Nath Ray
29
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
25
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
26
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
31
0
0
02 Jun 2021
Relational Reasoning Networks
Relational Reasoning Networks
G. Marra
Michelangelo Diligenti
Francesco Giannini
NAI
41
4
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
38
105
0
01 Jun 2021
Out-of-Vocabulary Entities in Link Prediction
Out-of-Vocabulary Entities in Link Prediction
Caglar Demir
A. N. Ngomo
19
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
23
19
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
18
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
26
46
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
63
51
0
17 May 2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Farhad Moghimifar
Lizhen Qu
Terry Yue Zhuo
Gholamreza Haffari
Mahsa Baktashmotlagh
ReLM
NAI
LRM
30
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
16
21
0
02 May 2021
An Adversarial Transfer Network for Knowledge Representation Learning
An Adversarial Transfer Network for Knowledge Representation Learning
Huijuan Wang
Shuangyin Li
Rong Pan
GAN
33
5
0
30 Apr 2021
Relational Learning with Gated and Attentive Neighbor Aggregator for
  Few-Shot Knowledge Graph Completion
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion
Guanglin Niu
Yang Li
Chengguang Tang
Ruiying Geng
Jian Dai
Qiao Liu
Hao Wang
Jian Sun
Fei Huang
Luo Si
33
88
0
27 Apr 2021
A Knowledge Enhanced Learning and Semantic Composition Model for
  Multi-Claim Fact Checking
A Knowledge Enhanced Learning and Semantic Composition Model for Multi-Claim Fact Checking
Shuai Wang
Penghui Wei
Jiahao Zhao
Wenji Mao
KELM
34
0
0
27 Apr 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep
  learning representations with expert knowledge graphs: the MonuMAI cultural
  heritage use case
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
Siham Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
54
77
0
24 Apr 2021
Efficient Relation-aware Scoring Function Search for Knowledge Graph
  Embedding
Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding
Shimin Di
Quanming Yao
Yongqi Zhang
Lei Chen
44
16
0
22 Apr 2021
Searching to Sparsify Tensor Decomposition for N-ary Relational Data
Searching to Sparsify Tensor Decomposition for N-ary Relational Data
Shimin Di
Quanming Yao
Lei Chen
29
39
0
21 Apr 2021
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation
Saiping Guan
Xiaolong Jin
Jiafeng Guo
Yuanzhuo Wang
Xueqi Cheng
39
27
0
21 Apr 2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation
  Learning
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Zixuan Li
Xiaolong Jin
Wei Li
Saiping Guan
Jiafeng Guo
Huawei Shen
Yuanzhuo Wang
Xueqi Cheng
28
259
0
21 Apr 2021
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link
  Prediction
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction
Shiyao Yan
Zequn Zhang
Xian Sun
Guangluan Xu
Li Jin
Shuchao Li
36
0
0
20 Apr 2021
Previous
123...101112...151617
Next