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Knowledge Graph Contrastive Learning for Recommendation

Knowledge Graph Contrastive Learning for Recommendation

2 May 2022
Yuhao Yang
Chao Huang
Lianghao Xia
Chenliang Li
ArXivPDFHTML

Papers citing "Knowledge Graph Contrastive Learning for Recommendation"

50 / 63 papers shown
Title
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation
Shengyin Sun
Chen Ma
11
0
0
13 May 2025
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Wei Wang
Yujie Lin
Jianli Zhao
M. Zhang
Pengjie Ren
Xianye Ben
Y. Li
AI4TS
72
0
0
26 Mar 2025
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
Maurizio Ferrari Dacrema
Michael Benigni
Nicola Ferro
29
0
0
10 Mar 2025
Multi-Behavior Recommender Systems: A Survey
Kyungho Kim
Sunwoo Kim
Geon Lee
Jinhong Jung
Kijung Shin
AI4CE
57
0
0
10 Mar 2025
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Multiview graph dual-attention deep learning and contrastive learning for multi-criteria recommender systems
Saman Forouzandeh
P. Krivitsky
Rohitash Chandra
55
0
0
26 Feb 2025
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models
Rui Cai
Chao Wang
Qianyi Cai
Dazhong Shen
Hui Xiong
RALM
80
0
0
06 Feb 2025
Personalized Denoising Implicit Feedback for Robust Recommender System
Personalized Denoising Implicit Feedback for Robust Recommender System
Kaike Zhang
Qi Cao
Yunfan Wu
Fei Sun
Huawei Shen
Xueqi Cheng
NoLa
70
1
0
01 Feb 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
36
1
0
13 Jan 2025
RecKG: Knowledge Graph for Recommender Systems
RecKG: Knowledge Graph for Recommender Systems
Junhyuk Kwon
Seokho Ahn
Young-Duk Seo
29
0
0
08 Jan 2025
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
Dong Hyun Jeon
Wenbo Sun
H. Song
Dongfang Liu
Velasquez Alvaro
Yixin Xie
Shuteng Niu
37
0
0
07 Jan 2025
DELE: Deductive $\mathcal{EL}^{++} \thinspace $ Embeddings for Knowledge
  Base Completion
DELE: Deductive EL++ \mathcal{EL}^{++} \thinspace EL++ Embeddings for Knowledge Base Completion
Olga Mashkova
Fernando Zhapa-Camacho
R. Hoehndorf
16
0
0
03 Nov 2024
Resilience in Knowledge Graph Embeddings
Resilience in Knowledge Graph Embeddings
Arnab Sharma
N'Dah Jean Kouagou
A. Ngomo
18
0
0
28 Oct 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Ziqiang Cui
Yunpeng Weng
Xing Tang
Fuyuan Lyu
Dugang Liu
Xiuqiang He
Chen Ma
41
3
0
16 Oct 2024
A Debiased Nearest Neighbors Framework for Multi-Label Text
  Classification
A Debiased Nearest Neighbors Framework for Multi-Label Text Classification
Zifeng Cheng
Zhiwei Jiang
Yafeng Yin
Zhaoling Chen
Cong Wang
Shiping Ge
Qiguo Huang
Qing Gu
21
0
0
06 Aug 2024
Symmetric Graph Contrastive Learning against Noisy Views for
  Recommendation
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation
Chu Zhao
Enneng Yang
Yuliang Liang
Jianzhe Zhao
Guibing Guo
Xingwei Wang
18
1
0
03 Aug 2024
Adapting Job Recommendations to User Preference Drift with
  Behavioral-Semantic Fusion Learning
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
Xiao Han
Chen Zhu
Xiao Hu
Chuan Qin
Xiangyu Zhao
Hengshu Zhu
16
2
0
24 Jun 2024
Pathformer: Recursive Path Query Encoding for Complex Logical Query
  Answering
Pathformer: Recursive Path Query Encoding for Complex Logical Query Answering
Chongzhi Zhang
Zhiping Peng
Junhao Zheng
Linghao Wang
Ruifeng Shi
Qianli Ma
34
1
0
21 Jun 2024
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt
  Tuning for Diverse Downstream Tasks
Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks
Yichi Zhang
Binbin Hu
Zhuo Chen
Lingbing Guo
Ziqi Liu
Zhiqiang Zhang
Lei Liang
Hua-zeng Chen
Wen Zhang
CLL
27
1
0
21 May 2024
Towards Graph Contrastive Learning: A Survey and Beyond
Towards Graph Contrastive Learning: A Survey and Beyond
Wei Ju
Yifan Wang
Yifang Qin
Zhengyan Mao
Zhiping Xiao
...
Dongjie Wang
Qingqing Long
Siyu Yi
Xiao Luo
Ming Zhang
40
12
0
20 May 2024
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Lei Cheng
Xiaowen Huang
Jitao Sang
Jian Yu
AAML
20
1
0
27 Apr 2024
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior
  Recommendation
Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
Shunpan Liang
Junjie Zhao
Chen Li
Yu Lei
HAI
16
1
0
18 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
25
0
0
15 Apr 2024
KGExplainer: Towards Exploring Connected Subgraph Explanations for
  Knowledge Graph Completion
KGExplainer: Towards Exploring Connected Subgraph Explanations for Knowledge Graph Completion
Tengfei Ma
Xiang Song
Wen Tao
Mufei Li
Jiani Zhang
Xiaoqin Pan
Jianxin Lin
Bosheng Song
Xiangxiang Zeng
20
2
0
05 Apr 2024
A Comprehensive Survey on Self-Supervised Learning for Recommendation
A Comprehensive Survey on Self-Supervised Learning for Recommendation
Xubin Ren
Wei Wei
Lianghao Xia
Chao Huang
SSL
24
9
0
04 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
24
18
0
30 Mar 2024
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on
  Large Language Models for Knowledge Graph Completion
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion
Yilin Wang
Minghao Hu
Zhen Huang
Dongsheng Li
Dong Yang
Xicheng Lu
19
2
0
26 Mar 2024
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal
  Knowledge Graph Reasoning
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
Miao Peng
Ben Liu
Wenjie Xu
Zihao Jiang
Jiahui Zhu
Min Peng
24
1
0
25 Mar 2024
Graph Regularized Encoder Training for Extreme Classification
Graph Regularized Encoder Training for Extreme Classification
Anshul Mittal
Shikhar Mohan
Deepak Saini
Suchith C. Prabhu
Jain jiao
...
Manik Varma
Sumeet Agarwal
Soumen Chakrabarti
Purushottam Kar
Manik Varma
GNN
26
0
0
28 Feb 2024
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and
  Evaluation
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation
Neng Kai Nigel Neo
Yeon-Chang Lee
Yiqiao Jin
Sang-Wook Kim
Srijan Kumar
36
2
0
25 Feb 2024
Modeling Balanced Explicit and Implicit Relations with Contrastive
  Learning for Knowledge Concept Recommendation in MOOCs
Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs
Hengnian Gu
Zhiyi Duan
Pan Xie
Dongdai Zhou
AI4Ed
11
0
0
13 Feb 2024
Causal Learning for Trustworthy Recommender Systems: A Survey
Causal Learning for Trustworthy Recommender Systems: A Survey
Jin Li
Shoujin Wang
Qi Zhang
LongBing Cao
Fang Chen
Xiuzhen Zhang
Dietmar Jannach
Charu C. Aggarwal
CML
27
0
0
13 Feb 2024
Which Matters Most in Making Fund Investment Decisions? A
  Multi-granularity Graph Disentangled Learning Framework
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework
Chunjing Gan
Binbin Hu
Bo Huang
Tianyu Zhao
Yingru Lin
Wenliang Zhong
Zhiqiang Zhang
Jun Zhou
Chuan Shi
24
1
0
23 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for
  Recommendation Systems
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems
Haojun Zhu
Vikram Kapoor
Priya Sharma
GNN
10
0
0
10 Nov 2023
Knowledge Graph Context-Enhanced Diversified Recommendation
Knowledge Graph Context-Enhanced Diversified Recommendation
Xiao-lin Liu
Liangwei Yang
Zhiwei Liu
Mingdai Yang
Chen Wang
Hao Peng
Philip S. Yu
15
4
0
20 Oct 2023
Unsupervised Pretraining for Fact Verification by Language Model
  Distillation
Unsupervised Pretraining for Fact Verification by Language Model Distillation
A. Bazaga
Pietro Lió
Bo Dai
HILM
25
2
0
28 Sep 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced
  Recommendation
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation
Haibo Ye
Xinjie Li
Yuan Yao
Hanghang Tong
23
0
0
23 Sep 2023
Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph
  Pruning and Intent Graph for Effective Recommendations
Unveiling Optimal SDG Pathways: An Innovative Approach Leveraging Graph Pruning and Intent Graph for Effective Recommendations
Zhihang Yu
Shu Wang
Yunqiang Zhu
Wen Yuan
Xiaoliang Dai
Zhiqiang Zou
9
1
0
21 Sep 2023
Exploring the Limits of Historical Information for Temporal Knowledge
  Graph Extrapolation
Exploring the Limits of Historical Information for Temporal Knowledge Graph Extrapolation
Yi Xu
Junjie Ou
Hui Xu
Luoyi Fu
Lei Zhou
Xinbing Wang
Cheng Zhou
AI4TS
10
0
0
29 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
21
2
0
14 Aug 2023
SSLRec: A Self-Supervised Learning Framework for Recommendation
SSLRec: A Self-Supervised Learning Framework for Recommendation
Xubin Ren
Lianghao Xia
Yuhao Yang
Wei Wei
Tianle Wang
Xuheng Cai
Chao Huang
13
32
0
10 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and
  Reproducibility-driven Analysis
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
V. W. Anelli
Daniele Malitesta
Claudio Pomo
Alejandro Bellogín
T. D. Noia
E. Sciascio
14
10
0
01 Aug 2023
Neural-Symbolic Recommendation with Graph-Enhanced Information
Neural-Symbolic Recommendation with Graph-Enhanced Information
Bang-Chao Chen
Wei Peng
Maonian Wu
Bo Zheng
Shaojun Zhu
24
1
0
11 Jul 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation
Knowledge Graph Self-Supervised Rationalization for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chunzhen Huang
22
88
0
06 Jul 2023
Recent Developments in Recommender Systems: A Survey
Recent Developments in Recommender Systems: A Survey
Yang Li
Kangbo Liu
Ranjan Satapathy
Suhang Wang
Erik Cambria
OffRL
59
29
0
22 Jun 2023
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
Honggen Zhang
June Zhang
Igor Molybog
14
4
0
17 May 2023
Hierarchical and Contrastive Representation Learning for Knowledge-aware
  Recommendation
Hierarchical and Contrastive Representation Learning for Knowledge-aware Recommendation
Bingchao Wu
Yang-Yang Kang
Daoguang Zan
Bei Guan
Yongji Wang
11
1
0
15 Apr 2023
CLSA: Contrastive Learning-based Survival Analysis for Popularity
  Prediction in MEC Networks
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks
Zohreh Hajiakhondi-Meybodi
Arash Mohammadi
J. Abouei
Konstantinos N. Plataniotis
19
2
0
21 Mar 2023
An Overview on Language Models: Recent Developments and Outlook
An Overview on Language Models: Recent Developments and Outlook
Chengwei Wei
Yun Cheng Wang
Bin Wang
C.-C. Jay Kuo
8
41
0
10 Mar 2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan
Yi Liu
Bohan Li
Hongzhi Yin
16
66
0
13 Jan 2023
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical
  Structure
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
K. Liang
Yue Liu
Sihang Zhou
Wenxuan Tu
Yi Wen
Xihong Yang
Xiang Dong
Xinwang Liu
19
76
0
19 Nov 2022
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