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Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

3 February 2020
Andrea Rossi
D. Firmani
Antonio Matinata
P. Merialdo
Denilson Barbosa
ArXivPDFHTML

Papers citing "Knowledge Graph Embedding for Link Prediction: A Comparative Analysis"

23 / 23 papers shown
Title
Local Structure-aware Graph Contrastive Representation Learning
Local Structure-aware Graph Contrastive Representation Learning
Kai Yang
Yuan Liu
Zijuan Zhao
P. Ding
Wen-feng Zhao
27
3
0
07 Aug 2023
LogicRec: Recommendation with Users' Logical Requirements
LogicRec: Recommendation with Users' Logical Requirements
Zhenwei Tang
Griffin Floto
Armin Toroghi
Shichao Pei
Xiangliang Zhang
Scott Sanner
30
3
0
23 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
Knowledge Graph Completion based on Tensor Decomposition for Disease
  Gene Prediction
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
Xinyan Wang
Ting Jia
Chong Wang
Kuan Xu
Zixin Shu
Jian Yu
Kuo Yang
Xuezhong Zhou
20
2
0
18 Feb 2023
Interaction Order Prediction for Temporal Graphs
Interaction Order Prediction for Temporal Graphs
N. Bannur
Mashrin Srivastava
Harsha Vardhan
29
0
0
04 Feb 2023
Recent advances in artificial intelligence for retrosynthesis
Recent advances in artificial intelligence for retrosynthesis
Zipeng Zhong
Jie Song
Zunlei Feng
Tiantao Liu
Lingxiang Jia
Shaolun Yao
Tingjun Hou
Mingli Song
29
5
0
14 Jan 2023
ReInform: Selecting paths with reinforcement learning for contextualized
  link prediction
ReInform: Selecting paths with reinforcement learning for contextualized link prediction
M. Speranskaya
Sameh Methias
Benjamin Roth
KELM
LRM
19
0
0
19 Nov 2022
KGLM: Integrating Knowledge Graph Structure in Language Models for Link
  Prediction
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
Jason Youn
I. Tagkopoulos
KELM
14
20
0
04 Nov 2022
Semi-supervised Training for Knowledge Base Graph Self-attention
  Networks on Link Prediction
Semi-supervised Training for Knowledge Base Graph Self-attention Networks on Link Prediction
Shuanglong Yao
D. Pi
Junfu Chen
Yufei Liu
Zhiyuan Wu
GNN
16
0
0
03 Sep 2022
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
Yuanning Cui
Yuxin Wang
Zequn Sun
Wenqiang Liu
Yiqiao Jiang
Kexin Han
Wei Hu
LRM
22
14
0
22 Aug 2022
Contextual Semantic Embeddings for Ontology Subsumption Prediction
Contextual Semantic Embeddings for Ontology Subsumption Prediction
Jiaoyan Chen
Yuan He
Yuxia Geng
Ernesto Jiménez-Ruiz
Hang Dong
Ian Horrocks
35
50
0
20 Feb 2022
Multi-Modal Knowledge Graph Construction and Application: A Survey
Multi-Modal Knowledge Graph Construction and Application: A Survey
Xiangru Zhu
Zhixu Li
Xiaodan Wang
Xueyao Jiang
Penglei Sun
Xuwu Wang
Yanghua Xiao
N. Yuan
28
154
0
11 Feb 2022
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 V. Loukachevitch
17
8
0
21 Jan 2022
Temporal Knowledge Graph Completion: A Survey
Temporal Knowledge Graph Completion: A Survey
Borui Cai
Yong Xiang
Longxiang Gao
Heng Zhang
Yunfeng Li
Jianxin Li
19
89
0
16 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
40
29
0
13 Jan 2022
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
16
9
0
08 Dec 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
37
22
0
20 Sep 2021
Relational Graph Convolutional Networks: A Closer Look
Relational Graph Convolutional Networks: A Closer Look
Thiviyan Thanapalasingam
Lucas van Berkel
Peter Bloem
Paul T. Groth
GNN
11
19
0
21 Jul 2021
Utilising Graph Machine Learning within Drug Discovery and Development
Utilising Graph Machine Learning within Drug Discovery and Development
Thomas Gaudelet
Ben Day
Arian R. Jamasb
Jyothish Soman
Cristian Regep
...
Jian Tang
D. Roblin
Tom L. Blundell
M. Bronstein
J. Taylor-King
AI4CE
24
36
0
09 Dec 2020
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
32
3
0
12 Oct 2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge
  Graphs
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs
Zequn Sun
Qingheng Zhang
Wei Hu
Chengming Wang
Muhao Chen
F. Akrami
Chengkai Li
19
242
0
10 Mar 2020
Image-embodied Knowledge Representation Learning
Image-embodied Knowledge Representation Learning
Ruobing Xie
Zhiyuan Liu
Huanbo Luan
Maosong Sun
122
211
0
22 Sep 2016
On the representation and embedding of knowledge bases beyond binary
  relations
On the representation and embedding of knowledge bases beyond binary relations
Jianfeng Wen
Jianxin Li
Yongyi Mao
Shini Chen
Richong Zhang
57
114
0
28 Apr 2016
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