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A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
v1v2v3v4 (latest)

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

2 February 2020
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
ArXiv (abs)PDFHTML

Papers citing "A Survey on Knowledge Graphs: Representation, Acquisition and Applications"

50 / 539 papers shown
Title
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot
  Analogical Pruning
Relevant Entity Selection: Knowledge Graph Bootstrapping via Zero-Shot Analogical Pruning
Lucas Jarnac
Miguel Couceiro
Pierre Monnin
74
11
0
28 Jun 2023
TransERR: Translation-based Knowledge Graph Embedding via Efficient
  Relation Rotation
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
Jiang Li
Xiangdong Su
Fujun Zhang
Guanglai Gao
92
1
0
26 Jun 2023
IERL: Interpretable Ensemble Representation Learning -- Combining
  CrowdSourced Knowledge and Distributed Semantic Representations
IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations
Yuxin Zi
Kaushik Roy
Vignesh Narayanan
Manas Gaur
Amit P. Sheth
60
8
0
24 Jun 2023
Variational Disentangled Graph Auto-Encoders for Link Prediction
Variational Disentangled Graph Auto-Encoders for Link Prediction
Jun Fu
Xiaojuan Zhang
Shuang Li
Dali Chen
CMLDRL
69
3
0
20 Jun 2023
Advancing Biomedicine with Graph Representation Learning: Recent
  Progress, Challenges, and Future Directions
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions
Fang Li
Yi Nian
Zenan Sun
Cui Tao
LM&MAOODAI4TSAI4CE
79
6
0
18 Jun 2023
Do as I can, not as I get
Do as I can, not as I get
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
91
2
0
17 Jun 2023
Research on Named Entity Recognition in Improved transformer with R-Drop
  structure
Research on Named Entity Recognition in Improved transformer with R-Drop structure
Weidong Ji
Yousheng Zhang
Guohui Zhou
Xu Wang
88
0
0
14 Jun 2023
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan
Linhao Luo
Yufei Wang
Chen Chen
Jiapu Wang
Xindong Wu
KELM
163
791
0
14 Jun 2023
Comprehensive evaluation of deep and graph learning on drug-drug
  interactions prediction
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin
Lichang Dai
Yafang Zhou
Zunpeng Yu
Wen Zhang
...
Li Zeng
Hao-Heng Chen
Bosheng Song
Philip S. Yu
Xiangxiang Zeng
GNN
66
62
0
08 Jun 2023
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
A Review on Knowledge Graphs for Healthcare: Resources, Applications, and Promises
Hejie Cui
Jiaying Lu
Shiyu Wang
Shiyu Wang
Wenjing Ma
...
Fei Wang
Carl Yang
Mengdi Huai
Fei Wang
Carl Yang
138
12
0
07 Jun 2023
Joint Pre-training and Local Re-training: Transferable Representation
  Learning on Multi-source Knowledge Graphs
Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs
Zequn Sun
Jiacheng Huang
Jing-Rong Lin
Xiaozhou Xu
Qijin Chen
Wei Hu
62
2
0
05 Jun 2023
An Overview on Generative AI at Scale with Edge-Cloud Computing
An Overview on Generative AI at Scale with Edge-Cloud Computing
Yun Cheng Wang
Jintang Xue
Chengwei Wei
C.-C. Jay Kuo
71
35
0
02 Jun 2023
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
Jaejun Lee
Chanyoung Chung
Joyce Jiyoung Whang
GNN
83
48
0
31 May 2023
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs
  with Transformers
Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
Chanyoung Chung
Jaejun Lee
Joyce Jiyoung Whang
86
15
0
29 May 2023
Explainable Machine Learning for Categorical and Mixed Data with
  Lossless Visualization
Explainable Machine Learning for Categorical and Mixed Data with Lossless Visualization
Boris Kovalerchuk
Elijah McCoy
75
3
0
29 May 2023
GPT4Graph: Can Large Language Models Understand Graph Structured Data ?
  An Empirical Evaluation and Benchmarking
GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking
Jiayan Guo
Lun Du
Hengyu Liu
Mengyu Zhou
Xinyi He
Shi Han
AI4MH
99
167
0
24 May 2023
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs
Guangsi Shi
Daokun Zhang
Ming Jin
Shirui Pan
Philip S. Yu
AI4CE
97
4
0
21 May 2023
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
Honggen Zhang
Igor Molybog
Xufeng Zhao
101
7
0
17 May 2023
River of No Return: Graph Percolation Embeddings for Efficient Knowledge
  Graph Reasoning
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
Kai Wang
Siqiang Luo
Dan Lin
76
4
0
17 May 2023
Completeness, Recall, and Negation in Open-World Knowledge Bases: A
  Survey
Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey
Simon Razniewski
Hiba Arnaout
Tuan-Phong Nguyen
Fabian M. Suchanek
70
10
0
09 May 2023
Temporal and Heterogeneous Graph Neural Network for Financial Time
  Series Prediction
Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction
Sheng Xiang
Dawei Cheng
Chencheng Shang
Ying Zhang
Yuqi Liang
AIFinAI4TS
93
57
0
09 May 2023
Multi-source Education Knowledge Graph Construction and Fusion for
  College Curricula
Multi-source Education Knowledge Graph Construction and Fusion for College Curricula
Zeju Li
Lin-xiao Cheng
Chun-Xiao Zhang
Xinning Zhu
Hui-Juan Zhao
37
10
0
08 May 2023
ChatGraph: Interpretable Text Classification by Converting ChatGPT
  Knowledge to Graphs
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs
Yucheng Shi
Hehuan Ma
Wenliang Zhong
Qiaoyu Tan
Gengchen Mai
Xiang Li
Tianming Liu
Junzhou Huang
AI4MH
73
35
0
03 May 2023
Uncovering CWE-CVE-CPE Relations with Threat Knowledge Graphs
Uncovering CWE-CVE-CPE Relations with Threat Knowledge Graphs
Zhenpeng Shi
Nikolay Matyunin
Kalman Graffi
D. Starobinski
74
13
0
01 May 2023
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph
  Construction and Analysis
BERT Based Clinical Knowledge Extraction for Biomedical Knowledge Graph Construction and Analysis
Ayoub Harnoune
Maryem Rhanoui
M. Mikram
Siham Yousfi
Zineb Elkaimbillah
B. E. Asri
62
86
0
21 Apr 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph
  Completion
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion
Linhao Luo
Yuan-Fang Li
Gholamreza Haffari
Shirui Pan
BDL
80
31
0
17 Apr 2023
GeoGraphViz: Geographically Constrained 3D Force-Directed Graph for
  Knowledge Graph Visualization
GeoGraphViz: Geographically Constrained 3D Force-Directed Graph for Knowledge Graph Visualization
Sizhe Wang
Wenwen Li
Zhining Gu
30
8
0
14 Apr 2023
Incorporating Structured Sentences with Time-enhanced BERT for
  Fully-inductive Temporal Relation Prediction
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction
Zhongwu Chen
Chengjin Xu
Fenglong Su
Zhen Huang
Yong Dou
79
16
0
10 Apr 2023
Deep Active Alignment of Knowledge Graph Entities and Schemata
Deep Active Alignment of Knowledge Graph Entities and Schemata
Jiacheng Huang
Zequn Sun
Qijin Chen
Xiaozhou Xu
Weijun Ren
Wei Hu
78
11
0
10 Apr 2023
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via
  Prompt Augmented by ChatGPT
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
Jiawei Zhang
LRM
124
78
0
10 Apr 2023
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for
  Temporal Knowledge Graph Reasoning
DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning
Shangfei Zheng
Hongzhi Yin
Tong Chen
Quoc Viet Hung Nguyen
Wei Chen
Lei Zhao
AI4TS
57
20
0
08 Apr 2023
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content
  (AIGC) in Wireless Networks
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks
Hongyang Du
Ruichen Zhang
Fellow Ieee Dusit Niyato
Jiawen Kang
Zehui Xiong
Fellow Ieee Dong In Kim
Fellow Ieee Sherman Shen
X. Shen
L. F. I. H. Vincent Poor
DiffM
122
78
0
07 Apr 2023
Counterfactual Learning on Graphs: A Survey
Counterfactual Learning on Graphs: A Survey
Zhimeng Guo
Teng Xiao
Zongyu Wu
Charu C. Aggarwal
Hui Liu
Suhang Wang
CMLAI4CE
134
19
0
03 Apr 2023
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for
  Dialogue-based Relation Extraction
TLAG: An Informative Trigger and Label-Aware Knowledge Guided Model for Dialogue-based Relation Extraction
Hao An
Dongsheng Chen
Weiyuan Xu
Zhihong Zhu
Yuexian Zou
99
2
0
30 Mar 2023
Pre-training Transformers for Knowledge Graph Completion
Pre-training Transformers for Knowledge Graph Completion
Sanxing Chen
Hao Cheng
Xiaodong Liu
Jian Jiao
Yangfeng Ji
Jianfeng Gao
74
2
0
28 Mar 2023
PromptORE -- A Novel Approach Towards Fully Unsupervised Relation
  Extraction
PromptORE -- A Novel Approach Towards Fully Unsupervised Relation Extraction
Pierre-Yves Genest
Pierre-Edouard Portier
Elöd Egyed-Zsigmond
L. Goix
LRM
91
14
0
24 Mar 2023
Knowledge Graphs: Opportunities and Challenges
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng
Xiwei Xu
Mehdi Naseriparsa
Francesco Osborne
69
292
0
24 Mar 2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient
  Knowledge Graph Embedding
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
Borui Cai
Yong Xiang
Longxiang Gao
Di Wu
Heng Zhang
Jiongdao Jin
Tom H. Luan
77
2
0
22 Mar 2023
Understanding Expressivity of GNN in Rule Learning
Understanding Expressivity of GNN in Rule Learning
Haiquan Qiu
Yongqi Zhang
Yong Li
Quanming Yao
AI4CE
61
6
0
22 Mar 2023
A Survey of Graph Prompting Methods: Techniques, Applications, and
  Challenges
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges
Xuansheng Wu
Kaixiong Zhou
Mingchen Sun
Xin Wang
Ninghao Liu
100
12
0
13 Mar 2023
Comprehensive Event Representations using Event Knowledge Graphs and
  Natural Language Processing
Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing
Tin Kuculo
NAI
65
1
0
08 Mar 2023
Neural Compositional Rule Learning for Knowledge Graph Reasoning
Neural Compositional Rule Learning for Knowledge Graph Reasoning
Kewei Cheng
Nesreen Ahmed
Yizhou Sun
NAI
77
25
0
07 Mar 2023
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on
  Tasks and Challenges
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
Maria Lymperaiou
Giorgos Stamou
VLM
101
4
0
04 Mar 2023
Treat Different Negatives Differently: Enriching Loss Functions with
  Domain and Range Constraints for Link Prediction
Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction
Nicolas Hubert
Pierre Monnin
Armelle Brun
D. Monticolo
99
4
0
01 Mar 2023
Diversity matters: Robustness of bias measurements in Wikidata
Diversity matters: Robustness of bias measurements in Wikidata
Paramita Das
Sai Keerthana Karnam
Anirban Panda
Bhanu Prakash Reddy Guda
Soumya Sarkar
Animesh Mukherjee
46
5
0
27 Feb 2023
Knowledge Graph Completion with Counterfactual Augmentation
Knowledge Graph Completion with Counterfactual Augmentation
Heng Chang
Jie Cai
Jia Li
78
27
0
25 Feb 2023
Construction of Knowledge Graphs: State and Challenges
Construction of Knowledge Graphs: State and Challenges
Marvin Hofer
Daniel Obraczka
A. Saeedi
Hanna Köpcke
Erhard Rahm
78
38
0
22 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey
  from Precision to Interpretability
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability
Zhiqiang Zhong
A. Barkova
Davide Mottin
85
8
0
16 Feb 2023
Self-Supervised Temporal Graph learning with Temporal and Structural
  Intensity Alignment
Self-Supervised Temporal Graph learning with Temporal and Structural Intensity Alignment
Meng Liu
K. Liang
Bin Xiao
Wenxuan Tu
Sihang Zhou
Xihong Yang
Xinwang Liu
Yue Liu
102
72
0
15 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey
L. Delong
Ramon Fernández Mir
Jacques D. Fleuriot
NAI
120
13
0
14 Feb 2023
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