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Knowledge Graph Contrastive Learning Based on Relation-Symmetrical
  Structure

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure

19 November 2022
K. Liang
Yue Liu
Sihang Zhou
Wenxuan Tu
Yi Wen
Xihong Yang
Xiang Dong
Xinwang Liu
ArXivPDFHTML

Papers citing "Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure"

22 / 22 papers shown
Title
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Knowledge Graph Completion with Relation-Aware Anchor Enhancement
Duanyang Yuan
Sihang Zhou
Xiaoshu Chen
Dong Wang
K. Liang
Xinwang Liu
Jian Huang
57
1
0
08 Apr 2025
Dual Test-time Training for Out-of-distribution Recommender System
Dual Test-time Training for Out-of-distribution Recommender System
Xihong Yang
Yiqi Wang
Jin Chen
Wenqi Fan
Xiangyu Zhao
En Zhu
Xinwang Liu
Defu Lian
TTA
150
7
0
13 Mar 2025
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning
Jiapeng Zhu
Zichen Ding
Jianxiang Yu
Jiaqi Tan
Xiang Li
Weining Qian
OffRL
168
3
0
20 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
64
0
0
11 Nov 2024
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual
  Information Maximization
Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
Wei Dong
Junsheng Wu
Yi-wei Luo
Zongyuan Ge
Peifeng Wang
SSL
53
19
0
23 Mar 2022
Improved Dual Correlation Reduction Network
Improved Dual Correlation Reduction Network
Yue Liu
Sihang Zhou
Xinwang Liu
Wenxuan Tu
Xihong Yang
36
22
0
25 Feb 2022
HousE: Knowledge Graph Embedding with Householder Parameterization
HousE: Knowledge Graph Embedding with Householder Parameterization
Rui Li
Jianan Zhao
Chaozhuo Li
Di He
Yiqi Wang
...
Senzhang Wang
Weiwei Deng
Yanming Shen
Xing Xie
Qi Zhang
46
46
0
16 Feb 2022
Augmentation-Free Self-Supervised Learning on Graphs
Augmentation-Free Self-Supervised Learning on Graphs
Namkyeong Lee
Junseok Lee
Chanyoung Park
80
204
0
05 Dec 2021
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
Jun Xia
Lirong Wu
Ge Wang
Jintao Chen
Stan Z. Li
52
121
0
05 Oct 2021
An Empirical Study of Graph Contrastive Learning
An Empirical Study of Graph Contrastive Learning
Yanqiao Zhu
Yichen Xu
Qiang Liu
Shu Wu
39
170
0
02 Sep 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar
Li Jing
Ishan Misra
Yann LeCun
Stéphane Deny
SSL
214
2,321
0
04 Mar 2021
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
178
3,992
0
20 Nov 2020
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
52
1,088
0
27 Oct 2020
Whitening for Self-Supervised Representation Learning
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov
Aliaksandr Siarohin
E. Sangineto
N. Sebe
SSL
53
310
0
13 Jul 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
258
6,718
0
13 Jun 2020
A Survey on Knowledge Graph-Based Recommender Systems
A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo
Fuzhen Zhuang
Chuan Qin
Hengshu Zhu
Xing Xie
Hui Xiong
Qing He
109
735
0
28 Feb 2020
A Survey on Knowledge Graphs: Representation, Acquisition and
  Applications
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Shaoxiong Ji
Shirui Pan
Min Zhang
Pekka Marttinen
Philip S. Yu
276
1,961
0
02 Feb 2020
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang
Jianyu Cai
Yongdong Zhang
Jie Wang
64
386
0
21 Nov 2019
Composition-based Multi-Relational Graph Convolutional Networks
Composition-based Multi-Relational Graph Convolutional Networks
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Partha P. Talukdar
GNN
105
827
0
08 Nov 2019
Learning Attention-based Embeddings for Relation Prediction in Knowledge
  Graphs
Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
Deepak Nathani
Jatin Chauhan
Charu Sharma
Manohar Kaul
61
484
0
04 Jun 2019
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
132
4,772
0
17 Mar 2017
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
64
3,174
0
20 Dec 2014
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