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A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

2 February 2020
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
ArXivPDFHTML

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

50 / 178 papers shown
Title
Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering
Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering
Weizhi Fei
Zihao Wang
Hang Yin
Shukai Zhao
Wei Zhang
Yangqiu Song
NAI
31
0
0
13 May 2025
Injecting Knowledge Graphs into Large Language Models
Injecting Knowledge Graphs into Large Language Models
Erica Coppolillo
29
0
0
12 May 2025
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning
KERAIA: An Adaptive and Explainable Framework for Dynamic Knowledge Representation and Reasoning
Stephen Richard Varey
A. D. Stefano
Anh Han
68
0
0
07 May 2025
BedreFlyt: Improving Patient Flows through Hospital Wards with Digital Twins
BedreFlyt: Improving Patient Flows through Hospital Wards with Digital Twins
Riccardo Sieve
Paul Kobialka
Laura Slaughter
Rudolf Schlatte
E. Johnsen
S. L. T. Tarifa
21
0
0
07 May 2025
AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL
AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTL
Yunsheng Bai
Ghaith Bany Hamad
Syed Suhaib
Haoxing Ren
36
1
0
24 Mar 2025
Towards Physics-Guided Foundation Models
Towards Physics-Guided Foundation Models
Majid Farhadloo
Arun Sharma
Mingzhou Yang
B. Jayaprakash
W. Northrop
Shashi Shekhar
AI4CE
38
0
0
20 Feb 2025
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment
Yuxing Lu
Jinzhuo Wang
38
1
0
10 Feb 2025
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
Ioannis Reklos
Jacopo de Berardinis
Elena Simperl
Albert Meroño-Peñuela
185
0
0
31 Jan 2025
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
Bridge: A Unified Framework to Knowledge Graph Completion via Language Models and Knowledge Representation
Qiao Qiao
Yuepei Li
Qing Wang
Kang Zhou
Qi Li
39
0
0
11 Nov 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
32
0
0
16 Oct 2024
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Guanglin Niu
37
0
0
16 Oct 2024
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case
  Study
Enhancing Structured-Data Retrieval with GraphRAG: Soccer Data Case Study
Z. Sepasdar
Sushant Gautam
Cise Midoglu
Michael A. Riegler
Pål Halvorsen
31
2
0
26 Sep 2024
Enhancing Logical Reasoning in Large Language Models through Graph-based
  Synthetic Data
Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
Jiaming Zhou
Abbas Ghaddar
Ge Zhang
Liheng Ma
Yaochen Hu
Soumyasundar Pal
Mark J. Coates
Bin Wang
Yingxue Zhang
Jianye Hao
ReLM
LRM
39
4
0
19 Sep 2024
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
Rishi Kalra
Zekun Wu
Ayesha Gulley
Airlie Hilliard
Xin Guan
Adriano Soares Koshiyama
Philip C. Treleaven
RALM
AILaw
54
5
0
29 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Chu Zhao
Enneng Yang
Yuliang Liang
Pengxiang Lan
Yuting Liu
Jianzhe Zhao
Guibing Guo
Xingwei Wang
OOD
DiffM
CML
53
5
0
01 Aug 2024
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
ReLiK: Retrieve and LinK, Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
Adam Gould
Pere-Lluis Huguet-Cabot
S. Dadhania
Francesca Toni
74
9
0
31 Jul 2024
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval
Hongming Tan
Shaoxiong Zhan
Hai Lin
Hai-Tao Zheng
Wai Kin Chan
RALM
55
1
0
29 Jul 2024
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain
  Adaptation
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
Meihan Liu
Zhen Zhang
Jiachen Tang
Jiajun Bu
Bingsheng He
Sheng Zhou
39
3
0
09 Jul 2024
Prompt-Consistency Image Generation (PCIG): A Unified Framework
  Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
Yichen Sun
Zhixuan Chu
Zhan Qin
Kui Ren
DiffM
37
0
0
24 Jun 2024
Towards Robust Training Datasets for Machine Learning with Ontologies: A
  Case Study for Emergency Road Vehicle Detection
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection
Lynn Vonderhaar
Timothy Elvira
T. Procko
Omar Ochoa
39
0
0
21 Jun 2024
A Survey on Large Language Models from General Purpose to Medical
  Applications: Datasets, Methodologies, and Evaluations
A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations
Jinqiang Wang
Huansheng Ning
Yi Peng
Qikai Wei
Daniel Tesfai
Wenwei Mao
Tao Zhu
Runhe Huang
LM&MA
AI4MH
ELM
44
5
0
14 Jun 2024
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
Christoph Wehner
Chrysa Iliopoulou
Ute Schmid
Tarek R. Besold
60
0
0
03 Jun 2024
Assessing LLMs Suitability for Knowledge Graph Completion
Assessing LLMs Suitability for Knowledge Graph Completion
Vasile Ionut Iga
G. Silaghi
49
2
0
27 May 2024
Towards Feature Engineering with Human and AI's Knowledge: Understanding
  Data Science Practitioners' Perceptions in Human&AI-Assisted Feature
  Engineering Design
Towards Feature Engineering with Human and AI's Knowledge: Understanding Data Science Practitioners' Perceptions in Human&AI-Assisted Feature Engineering Design
Qian Zhu
Dakuo Wang
Shuai Ma
April Yi Wang
Zixin Chen
Udayan Khurana
Xiaojuan Ma
50
1
0
23 May 2024
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph
  Neural Networks
Delayed Bottlenecking: Alleviating Forgetting in Pre-trained Graph Neural Networks
Zhe Zhao
Pengkun Wang
Xu Wang
Haibin Wen
Xiaolong Xie
Zhengyang Zhou
Qingfu Zhang
Yang Wang
AI4CE
CLL
20
0
0
23 Apr 2024
A Continual Relation Extraction Approach for Knowledge Graph
  Completeness
A Continual Relation Extraction Approach for Knowledge Graph Completeness
Sefika Efeoglu
48
2
0
20 Apr 2024
Progressive Knowledge Graph Completion
Progressive Knowledge Graph Completion
Jiayi Li
Ruilin Luo
Jiaqi Sun
Jing Xiao
Yujiu Yang
30
1
0
15 Apr 2024
KG-CTG: Citation Generation through Knowledge Graph-guided Large
  Language Models
KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models
Avinash Anand
Mohit Gupta
Kritarth Prasad
Ujjwal Goel
Naman Lal
Astha Verma
R. Shah
56
7
0
15 Apr 2024
Distilling Reasoning Ability from Large Language Models with Adaptive
  Thinking
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
Xiao Chen
Sihang Zhou
K. Liang
Xinwang Liu
ReLM
LRM
37
4
0
14 Apr 2024
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
Yanpeng Ye
Jie Ren
Shaozhou Wang
Yuwei Wan
Imran Razzak
B. Hoex
Haofen Wang
Tong Xie
Wenjie Zhang
AI4CE
48
1
0
03 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Heterogeneous Contrastive Learning for Foundation Models and Beyond
Lecheng Zheng
Baoyu Jing
Zihao Li
Hanghang Tong
Jingrui He
VLM
38
19
0
30 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A
  survey on enhancing explainability, adversarial robustness and zero-shot
  learning
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning
F. Mumuni
A. Mumuni
AAML
37
5
0
11 Mar 2024
A Survey on Temporal Knowledge Graph: Representation Learning and
  Applications
A Survey on Temporal Knowledge Graph: Representation Learning and Applications
Lianshang Cai
Xin Mao
Yuhao Zhou
Zhaoguang Long
Changxu Wu
Man Lan
29
12
0
02 Mar 2024
Negative Sampling in Knowledge Graph Representation Learning: A Review
Negative Sampling in Knowledge Graph Representation Learning: A Review
Tiroshan Madushanka
R. Ichise
52
8
0
29 Feb 2024
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
Yongquan He
Zhihan Wang
Peng Zhang
Zhaopeng Tu
Z. Ren
29
20
0
21 Feb 2024
Contextualization Distillation from Large Language Model for Knowledge
  Graph Completion
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
Dawei Li
Zhen Tan
Tianlong Chen
Huan Liu
KELM
25
12
0
28 Jan 2024
The Earth is Flat? Unveiling Factual Errors in Large Language Models
The Earth is Flat? Unveiling Factual Errors in Large Language Models
Wenxuan Wang
Juluan Shi
Zhaopeng Tu
Youliang Yuan
Jen-tse Huang
Wenxiang Jiao
Michael R. Lyu
KELM
HILM
SyDa
49
1
0
01 Jan 2024
KnowledgeNavigator: Leveraging Large Language Models for Enhanced
  Reasoning over Knowledge Graph
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
Tiezheng Guo
Qingwen Yang
Chen Wang
Yanyi Liu
Pan Li
Jiawei Tang
Dapeng Li
Yingyou Wen
RALM
LRM
36
22
0
26 Dec 2023
A Survey of Graph Meets Large Language Model: Progress and Future
  Directions
A Survey of Graph Meets Large Language Model: Progress and Future Directions
Yuhan Li
Zhixun Li
Peisong Wang
Jia Li
Xiangguo Sun
Hongtao Cheng
Jeffrey Xu Yu
40
56
0
21 Nov 2023
Compositional Fusion of Signals in Data Embedding
Compositional Fusion of Signals in Data Embedding
Zhijin Guo
Zhaozhen Xu
Martha Lewis
N. Cristianini
19
0
0
18 Nov 2023
Random Entity Quantization for Parameter-Efficient Compositional
  Knowledge Graph Representation
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
Jiaang Li
Quan Wang
Yi Liu
L. Zhang
Zhendong Mao
29
0
0
24 Oct 2023
Large Models for Time Series and Spatio-Temporal Data: A Survey and
  Outlook
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook
Ming Jin
Qingsong Wen
Keli Zhang
Chaoli Zhang
Siqiao Xue
...
Shirui Pan
Vincent S. Tseng
Yu Zheng
Lei Chen
Hui Xiong
AI4TS
SyDa
35
118
0
16 Oct 2023
Navigating Healthcare Insights: A Birds Eye View of Explainability with
  Knowledge Graphs
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
Satvik Garg
Anh Nguyen
Somya Garg
29
2
0
28 Sep 2023
Graph Neural Prompting with Large Language Models
Graph Neural Prompting with Large Language Models
Yijun Tian
Huan Song
Zichen Wang
Haozhu Wang
Ziqing Hu
Fang Wang
Nitesh V. Chawla
Panpan Xu
AI4CE
37
44
0
27 Sep 2023
Unsupervised Deep Cross-Language Entity Alignment
Unsupervised Deep Cross-Language Entity Alignment
Chuanyu Jiang
Yiming Qian
Lijun Chen
Yang Gu
Xia Xie
35
5
0
19 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A
  physics informed approach and beyond
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
Zhiqi Shao
Dai Shi
Andi Han
Yi Guo
Qianchuan Zhao
Junbin Gao
33
11
0
06 Sep 2023
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and
  Future Directions
A Survey of Imbalanced Learning on Graphs: Problems, Techniques, and Future Directions
Zemin Liu
Yuan N. Li
Nan-Fang Chen
Qian Wang
Bryan Hooi
Bin He
FaML
14
13
0
26 Aug 2023
Exploring Large Language Models for Knowledge Graph Completion
Exploring Large Language Models for Knowledge Graph Completion
Liang Yao
Jiazhen Peng
Chengsheng Mao
Yuan Luo
31
38
0
26 Aug 2023
A Comprehensive Study on Knowledge Graph Embedding over Relational
  Patterns Based on Rule Learning
A Comprehensive Study on Knowledge Graph Embedding over Relational Patterns Based on Rule Learning
Long Jin
Zhen Yao
Mingyang Chen
Hua-zeng Chen
Wen Zhang
19
3
0
15 Aug 2023
Question Answering with Deep Neural Networks for Semi-Structured
  Heterogeneous Genealogical Knowledge Graphs
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs
Omri Suissa
M. Zhitomirsky-Geffet
Avshalom Elmalech
GNN
BDL
34
8
0
30 Jul 2023
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