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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
Taxonomy Enrichment with Text and Graph Vector Representations
Taxonomy Enrichment with Text and Graph Vector Representations
Irina Nikishina
M. Tikhomirov
V. Logacheva
Yuriy Nazarov
Alexander Panchenko
Natalia Loukachevitch
82
8
0
21 Jan 2022
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
Trustworthy Knowledge Graph Completion Based on Multi-sourced Noisy Data
Jiacheng Huang
Yao Zhao
Wei Hu
Zhen-Hu Ning
Qijin Chen
Xiaoxia Qiu
Chengfu Huo
Weijun Ren
45
13
0
21 Jan 2022
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph
  Reasoning
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
Yushi Bai
Xin Lv
Juanzi Li
Lei Hou
Yincen Qu
Zelin Dai
Feiyu Xiong
RALMOffRLLRM
88
21
0
17 Jan 2022
An Automatic Ontology Generation Framework with An Organizational
  Perspective
An Automatic Ontology Generation Framework with An Organizational Perspective
S. Elnagar
V. Yoon
Manoj A. Thomas
82
26
0
15 Jan 2022
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph
  Embeddings
Reasoning Through Memorization: Nearest Neighbor Knowledge Graph Embeddings
Peng Wang
Xin Xie
Xiaohan Wang
Ningyu Zhang
RALM
131
18
0
14 Jan 2022
Multi-task Pre-training Language Model for Semantic Network Completion
Multi-task Pre-training Language Model for Semantic Network Completion
Da Li
Sen Yang
Kele Xu
Ming Yi
Yukai He
Huaimin Wang
99
33
0
13 Jan 2022
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous
  Information Networks
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks
Mubashir Imran
Hongzhi Yin
Tong Chen
Zi Huang
Kai Zheng
63
2
0
08 Jan 2022
Stay Positive: Knowledge Graph Embedding Without Negative Sampling
Stay Positive: Knowledge Graph Embedding Without Negative Sampling
Ainaz Hajimoradlou
Seyed Mehran Kazemi
62
9
0
07 Jan 2022
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional
  Knowledge Graph Embeddings
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings
Kai Wang
Yu Liu
Quan.Z Sheng
72
19
0
03 Jan 2022
Graph Collaborative Reasoning
Graph Collaborative Reasoning
H. Chen
Yunqi Li
Shaoyun Shi
Shuchang Liu
He Zhu
Yongfeng Zhang
LRM
106
29
0
27 Dec 2021
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
Learning to Walk with Dual Agents for Knowledge Graph Reasoning
Denghui Zhang
Zixuan Yuan
Hao Liu
Xiaodong Lin
Hui Xiong
82
46
0
23 Dec 2021
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for
  Link Prediction
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction
Peyman Baghershahi
Reshad Hosseini
H. Moradi
92
56
0
20 Dec 2021
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive
  Survey
Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
Jiaoyan Chen
Yuxia Geng
Zhuo Chen
Jeff Z. Pan
Yuan He
Wen Zhang
Ian Horrocks
Hua-zeng Chen
134
49
0
18 Dec 2021
DegreEmbed: incorporating entity embedding into logic rule learning for
  knowledge graph reasoning
DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning
Haotian Li
Hongri Liu
Yao Wang
Guodong Xin
Yuliang Wei
60
1
0
18 Dec 2021
KGBoost: A Classification-based Knowledge Base Completion Method with
  Negative Sampling
KGBoost: A Classification-based Knowledge Base Completion Method with Negative Sampling
Yun Cheng Wang
Xiou Ge
Bin Wang
C.-C. Jay Kuo
77
11
0
17 Dec 2021
Incomplete Knowledge Graph Alignment
Incomplete Knowledge Graph Alignment
Vinh Tong
T. T. Huynh
Thanh Tam Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
Quyet-Thang Huynh
98
1
0
17 Dec 2021
Two-view Graph Neural Networks for Knowledge Graph Completion
Two-view Graph Neural Networks for Knowledge Graph Completion
Vinh Tong
Dai Quoc Nguyen
Dinh Q. Phung
Dat Quoc Nguyen
3DV
45
4
0
16 Dec 2021
Graph Convolutional Networks with Dual Message Passing for Subgraph
  Isomorphism Counting and Matching
Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching
Xin Liu
Yangqiu Song
GNN
96
27
0
16 Dec 2021
Knowledge Graph Embedding in E-commerce Applications: Attentive
  Reasoning, Explanations, and Transferable Rules
Knowledge Graph Embedding in E-commerce Applications: Attentive Reasoning, Explanations, and Transferable Rules
Wen Zhang
Shumin Deng
Yin Hua
Liang Wang
Qiang Chen
Feiyu Xiong
Xiangwen Liu
Huajun Chen
70
10
0
16 Dec 2021
A Deep Learning Approach for Ontology Enrichment from Unstructured Text
A Deep Learning Approach for Ontology Enrichment from Unstructured Text
Lalit Mohan Sanagavarapu
Vivek Iyer
Y. R. Reddy
53
6
0
16 Dec 2021
Improving Conversational Recommendation Systems' Quality with
  Context-Aware Item Meta Information
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information
Bowen Yang
Cong Han
Yu Li
Lei Zuo
Zhou Yu
81
43
0
15 Dec 2021
Implications of Topological Imbalance for Representation Learning on
  Biomedical Knowledge Graphs
Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs
Stephen Bonner
Ufuk Kirik
Ola Engkvist
Jian Tang
Ian P Barrett
73
22
0
13 Dec 2021
An original model for multi-target learning of logical rules for
  knowledge graph reasoning
An original model for multi-target learning of logical rules for knowledge graph reasoning
Yuliang Wei
Haotian Li
Guodong Xin
Yao Wang
Bailing Wang
113
0
0
12 Dec 2021
Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's
  Revision History
Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History
Lukas Schmelzeisen
C. Dima
Steffen Staab
KELM
28
5
0
09 Dec 2021
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge
  Graph Embeddings
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings
Zhiping Luo
W. Xu
Weiqing Liu
Jiang Bian
Jian Yin
Tie-Yan Liu
48
6
0
09 Dec 2021
Prediction of Adverse Biological Effects of Chemicals Using Knowledge
  Graph Embeddings
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
E. B. Myklebust
Ernesto Jiménez-Ruiz
Jiaoyan Chen
Raoul Wolf
K. Tollefsen
74
9
0
08 Dec 2021
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks
Prithviraj Sen
B. W. Carvalho
Ryan Riegel
Alexander G. Gray
NAIAI4CE
140
61
0
06 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link
  Information
AutoGEL: An Automated Graph Neural Network with Explicit Link Information
Zhiling Wang
Shimin Di
Lei Chen
GNNAI4CE
94
40
0
02 Dec 2021
Triple Classification for Scholarly Knowledge Graph Completion
Triple Classification for Scholarly Knowledge Graph Completion
M. Y. Jaradeh
Kuldeep Singh
M. Stocker
Sören Auer
82
12
0
23 Nov 2021
Explainable Biomedical Recommendations via Reinforcement Learning
  Reasoning on Knowledge Graphs
Explainable Biomedical Recommendations via Reinforcement Learning Reasoning on Knowledge Graphs
G. Edwards
Sebastian Nilsson
Benedek Rozemberczki
Eliseo Papa
72
12
0
20 Nov 2021
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
381
20
0
11 Nov 2021
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement
  Learning
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
Zhao Zhang
Fuzhen Zhuang
Hengshu Zhu
Chao Li
Hui Xiong
Qing He
Yongjun Xu
64
12
0
11 Nov 2021
Graph Neural Network Training with Data Tiering
Graph Neural Network Training with Data Tiering
S. Min
Kun Wu
Mert Hidayetoğlu
Jinjun Xiong
Xiang Song
Wen-mei W. Hwu
GNN
58
16
0
10 Nov 2021
A Survey on Neural-symbolic Learning Systems
A Survey on Neural-symbolic Learning Systems
Dongran Yu
Bo Yang
Da Liu
Hui Wang
Shirui Pan
93
61
0
10 Nov 2021
Adversarial Attacks on Knowledge Graph Embeddings via Instance
  Attribution Methods
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
Peru Bhardwaj
John D. Kelleher
Luca Costabello
Declan O’Sullivan
49
21
0
04 Nov 2021
Conditional Attention Networks for Distilling Knowledge Graphs in
  Recommendation
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation
Ke Tu
Peng Cui
Daixin Wang
Qing Cui
Jun Zhou
Yuan Qi
Wenwu Zhu
90
47
0
03 Nov 2021
Discovering Supply Chain Links with Augmented Intelligence
Discovering Supply Chain Links with Augmented Intelligence
Achintya Gopal
Chun-Han Chang
61
3
0
02 Nov 2021
Transductive Data Augmentation with Relational Path Rule Mining for
  Knowledge Graph Embedding
Transductive Data Augmentation with Relational Path Rule Mining for Knowledge Graph Embedding
Yushi Hirose
Masashi Shimbo
Taro Watanabe
32
1
0
01 Nov 2021
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation
  Learning Model Using Rule Mining
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
Ling-Hao Chen
Jun Cui
Xing Tang
Chao Song
Y. Qian
Yansheng Li
Yongjun Zhang
33
0
0
01 Nov 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic
  Cones
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
Yushi Bai
Rex Ying
Hongyu Ren
J. Leskovec
88
62
0
28 Oct 2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph
  Embedding
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding
Tengwei Song
Jie Luo
Lei Huang
86
37
0
27 Oct 2021
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
Yin Hua
Wen Zhang
Yushan Zhu
Hongting Zhou
Zonggang Yuan
Changliang Xu
Hua-zeng Chen
74
58
0
27 Oct 2021
Vector-valued Distance and Gyrocalculus on the Space of Symmetric
  Positive Definite Matrices
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
F. López
Beatrice Pozzetti
Steve J. Trettel
Michael Strube
Anna Wienhard
72
17
0
26 Oct 2021
A Probabilistic Framework for Knowledge Graph Data Augmentation
A Probabilistic Framework for Knowledge Graph Data Augmentation
Jatin Chauhan
Priyanshu Gupta
Pasquale Minervini
46
4
0
25 Oct 2021
Scalable knowledge base completion with superposition memories
Scalable knowledge base completion with superposition memories
Matthias Lalisse
Eric Rosen
P. Smolensky
28
0
0
24 Oct 2021
Drug Similarity and Link Prediction Using Graph Embeddings on Medical
  Knowledge Graphs
Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs
Prakhar Gurawa
Matthias Nickles
18
3
0
22 Oct 2021
Principled Representation Learning for Entity Alignment
Principled Representation Learning for Entity Alignment
Lingbing Guo
Zequn Sun
Yin Hua
Wei Hu
Qiang Zhang
Huajun Chen
55
0
0
21 Oct 2021
Learning First-Order Rules with Relational Path Contrast for Inductive
  Relation Reasoning
Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning
Yudai Pan
Jun Liu
Lingling Zhang
Xin Hu
Tianzhe Zhao
Qika Lin
99
9
0
17 Oct 2021
Temporal Knowledge Graph Reasoning Triggered by Memories
Temporal Knowledge Graph Reasoning Triggered by Memories
Mengnan Zhao
Lihe Zhang
Yuqiu Kong
Baocai Yin
78
4
0
17 Oct 2021
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Xiaokai Wei
Shen Wang
Dejiao Zhang
Parminder Bhatia
Andrew O. Arnold
KELM
93
46
0
16 Oct 2021
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