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. 1911.09419
  4. Cited By
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

21 November 2019
Zhanqiu Zhang
Jianyu Cai
Yongdong Zhang
Jie Wang
ArXivPDFHTML

Papers citing "Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction"

50 / 108 papers shown
Title
Social Biases in Knowledge Representations of Wikidata separates Global North from Global South
Social Biases in Knowledge Representations of Wikidata separates Global North from Global South
Paramita Das
Sai Keerthana Karnam
Aditya Soni
Animesh Mukherjee
139
0
0
05 May 2025
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
98
0
0
17 Apr 2025
Detecting underdetermination in parameterized quantum circuits
Detecting underdetermination in parameterized quantum circuits
Marie Kempkes
Jakob Spiegelberg
Evert van Nieuwenburg
Vedran Dunjko
39
0
0
04 Apr 2025
Graph Contrastive Learning on Multi-label Classification for Recommendations
Graph Contrastive Learning on Multi-label Classification for Recommendations
Jiayang Wu
Wensheng Gan
Huashen Lu
Philip S. Yu
41
1
0
13 Jan 2025
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings
Yuhe Bai
33
1
0
08 Jan 2025
Efficient Relational Context Perception for Knowledge Graph Completion
Wenkai Tu
Guojia Wan
Zhengchun Shang
Bo Du
32
0
0
03 Jan 2025
A Contextualized BERT model for Knowledge Graph Completion
A Contextualized BERT model for Knowledge Graph Completion
Haji Gul
Abdul Ghani Naim
Ajaz A. Bhat
67
3
0
15 Dec 2024
KAAE: Numerical Reasoning for Knowledge Graphs via Knowledge-aware
  Attributes Learning
KAAE: Numerical Reasoning for Knowledge Graphs via Knowledge-aware Attributes Learning
Ming Yin
Qiang Zhou
Zongsheng Cao
Mei Li
74
1
0
20 Nov 2024
Fully Hyperbolic Rotation for Knowledge Graph Embedding
Fully Hyperbolic Rotation for Knowledge Graph Embedding
Qiuyu Liang
Weihua Wang
F. Bao
Guanglai Gao
40
2
0
06 Nov 2024
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial
  Reasoning
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning
Lei Hu
Wenwen Li
Yunqiang Zhu
8
0
0
24 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
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program
  Synthesis and Task Generation
Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation
J. Bednarek
K. Krawiec
LRM
NAI
25
0
0
06 Oct 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
Junnan Liu
Qianren Mao
Weifeng Jiang
Jianxin Li
35
0
0
19 Sep 2024
Hierarchical Blockmodelling for Knowledge Graphs
Hierarchical Blockmodelling for Knowledge Graphs
Marcin Pietrasik
Marek Reformat
Anna Wilbik
29
1
0
28 Aug 2024
Simple but Effective Compound Geometric Operations for Temporal
  Knowledge Graph Completion
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion
Rui Ying
Mengting Hu
Jianfeng Wu
Yalan Xie
Xiaoyi Liu
Zhunheng Wang
Ming Jiang
Hang Gao
Linlin Zhang
Renhong Cheng
38
3
0
13 Aug 2024
On The Expressive Power of Knowledge Graph Embedding Methods
Jiexing Gao
Dmitry Rodin
Vasily Motolygin
Denis Zaytsev
23
0
0
23 Jul 2024
Unified Interpretation of Smoothing Methods for Negative Sampling Loss
  Functions in Knowledge Graph Embedding
Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding
Xincan Feng
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
44
1
0
05 Jul 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Large Language Model Enhanced Knowledge Representation Learning: A Survey
Xin Wang
Zirui Chen
Haofen Wang
Leong Hou U
Zhao Li
Wenbin Guo
KELM
68
3
0
01 Jul 2024
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph
  Completion
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion
Wen Zhang
Yajing Xu
Peng Ye
Zhiwei Huang
Zezhong Xu
Jiaoyan Chen
Jeff Z. Pan
Huajun Chen
29
1
0
26 Jun 2024
Improving rule mining via embedding-based link prediction
Improving rule mining via embedding-based link prediction
N'Dah Jean Kouagou
Arif Yilmaz
Michel Dumontier
A. N. Ngomo
AI4CE
30
0
0
14 Jun 2024
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
Pengcheng Jiang
Lang Cao
Cao Xiao
Parminder Bhatia
Jimeng Sun
Jiawei Han
AI4MH
44
2
0
26 May 2024
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for
  Inductive Knowledge Graph Completion
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
Zhiwen Xie
Yi Zhang
Guangyou Zhou
Jin Liu
Xinhui Tu
Xiangji Huang
LRM
44
4
0
24 Apr 2024
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge
  Representation
HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
Zhiwei Hu
Víctor Gutiérrez-Basulto
Zhiliang Xiang
Ru Li
Jeff Z. Pan
33
0
0
15 Apr 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
HearHere: Mitigating Echo Chambers in News Consumption through an
  AI-based Web System
HearHere: Mitigating Echo Chambers in News Consumption through an AI-based Web System
Youngseung Jeon
Jaehoon Kim
Sohyun Park
Yun-kyoung Ko
Seongeun Ryu
Sang-Wook Kim
Kyungsik Han
20
5
0
28 Feb 2024
A Self-matching Training Method with Annotation Embedding Models for
  Ontology Subsumption Prediction
A Self-matching Training Method with Annotation Embedding Models for Ontology Subsumption Prediction
Yukihiro Shiraishi
Ken Kaneiwa
14
2
0
26 Feb 2024
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models
MQuinE: a cure for "Z-paradox" in knowledge graph embedding models
Yang Liu
Huang Fang
Yunfeng Cai
Mingming Sun
26
3
0
05 Feb 2024
KICGPT: Large Language Model with Knowledge in Context for Knowledge
  Graph Completion
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
Yanbin Wei
Qiushi Huang
James T. Kwok
Yu Zhang
27
34
0
04 Feb 2024
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge
  Graph Completion?
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
Yusuke Sakai
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
26
1
0
15 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
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
Towards Enhancing Relational Rules for Knowledge Graph Link Prediction
Shuhan Wu
Huaiyu Wan
Wei Chen
Yuting Wu
Junfeng Shen
Youfang Lin
AI4CE
NAI
32
5
0
20 Oct 2023
Node-based Knowledge Graph Contrastive Learning for Medical Relationship
  Prediction
Node-based Knowledge Graph Contrastive Learning for Medical Relationship Prediction
Zhiguang Fan
Yuedong Yang
Mingyuan Xu
Hongming Chen
38
1
0
16 Oct 2023
Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph
  Embedding
Negative Sampling with Adaptive Denoising Mixup for Knowledge Graph Embedding
Xian-gan Chen
Wen Zhang
Zhen Yao
Mingyang Chen
Siliang Tang
38
5
0
15 Oct 2023
Knowledge Graph Embedding: An Overview
Knowledge Graph Embedding: An Overview
Xiou Ge
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
33
19
0
21 Sep 2023
Learning Complete Topology-Aware Correlations Between Relations for
  Inductive Link Prediction
Learning Complete Topology-Aware Correlations Between Relations for Inductive Link Prediction
Jie Wang
Hanzhu Chen
Qitan Lv
Zhihao Shi
Jiajun Chen
Huarui He
Hongtao Xie
Yongdong Zhang
Feng Wu
27
0
0
20 Sep 2023
Model-based Subsampling for Knowledge Graph Completion
Model-based Subsampling for Knowledge Graph Completion
Xincan Feng
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
25
1
0
17 Sep 2023
Information Flow in Graph Neural Networks: A Clinical Triage Use Case
Information Flow in Graph Neural Networks: A Clinical Triage Use Case
Víctor Valls
Mykhaylo Zayats
Alessandra Pascale
19
1
0
12 Sep 2023
Rethinking Language Models as Symbolic Knowledge Graphs
Rethinking Language Models as Symbolic Knowledge Graphs
Vishwas Mruthyunjaya
Pouya Pezeshkpour
Estevam R. Hruschka
Nikita Bhutani
ELM
ALM
21
10
0
25 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
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
Akash Anil
Víctor Gutiérrez-Basulto
Yazmín Ibánez-García
Steven Schockaert
26
2
0
14 Aug 2023
HyperFormer: Enhancing Entity and Relation Interaction for
  Hyper-Relational Knowledge Graph Completion
HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion
Zhiwei Hu
Víctor Gutiérrez-Basulto
Zhiliang Xiang
Ru Li
Jeff Z. Pan
32
10
0
12 Aug 2023
Simple Rule Injection for ComplEx Embeddings
Simple Rule Injection for ComplEx Embeddings
Haodi Ma
Anthony Colas
Yuejie Wang
A. Sadeghian
D. Wang
NAI
17
0
0
07 Aug 2023
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph
  Reasoning
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning
K. Liang
Sihang Zhou
Yue Liu
Lingyuan Meng
Meng Liu
Xinwang Liu
36
15
0
06 Jul 2023
Curvature-enhanced Graph Convolutional Network for Biomolecular
  Interaction Prediction
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction
Cong Shen
Pingjian Ding
Junjie Wee
Jialin Bi
Jiawei Luo
Kelin Xia
GNN
14
6
0
23 Jun 2023
Message Intercommunication for Inductive Relation Reasoning
Message Intercommunication for Inductive Relation Reasoning
K. Liang
Lingyuan Meng
Sihang Zhou
Siwei Wang
Wenxuan Tu
Yue Liu
Meng Liu
Xinwang Liu
LRM
35
13
0
23 May 2023
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation
  Learning
PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning
E. Lee
Joyce C. Ho
29
2
0
04 May 2023
Knowledge Graph Embedding with 3D Compound Geometric Transformations
Knowledge Graph Embedding with 3D Compound Geometric Transformations
Xiou Ge
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
22
6
0
01 Apr 2023
Knowledge Graphs: Opportunities and Challenges
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng
Feng Xia
Mehdi Naseriparsa
Francesco Osborne
22
240
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
29
1
0
22 Mar 2023
IMF: Interactive Multimodal Fusion Model for Link Prediction
IMF: Interactive Multimodal Fusion Model for Link Prediction
Xinhang Li
Xiangyu Zhao
Jiaxing Xu
Yong Zhang
Chunxiao Xing
32
40
0
20 Mar 2023
123
Next