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Self-supervised Graph Learning for Recommendation

Self-supervised Graph Learning for Recommendation

21 October 2020
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
    SSL
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Papers citing "Self-supervised Graph Learning for Recommendation"

50 / 74 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
37
2
0
13 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
44
0
0
01 May 2025
Algorithm Performance Spaces for Strategic Dataset Selection
Algorithm Performance Spaces for Strategic Dataset Selection
Steffen Schulz
22
0
0
29 Apr 2025
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
Guoqing Hu
An Zhang
Shuo Liu
Zhibo Cai
Xun Yang
X. Wang
34
0
0
27 Apr 2025
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
H. Li
Hanwen Du
Y. Li
Junchen Fu
Chunxiao Li
Ziyi Zhuang
Jiakang Li
Yongxin Ni
AI4TS
29
0
0
19 Apr 2025
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
Long Zeng
Jianxiang Yu
Jiapeng Zhu
Qingsong Zhong
Xiang Li
29
0
0
17 Apr 2025
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Pre-training Generative Recommender with Multi-Identifier Item Tokenization
Bowen Zheng
Enze Liu
Z. Chen
Zhongrui Ma
Yue Wang
Wayne Xin Zhao
Ji-Rong Wen
33
0
0
06 Apr 2025
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
Ziqiang Cui
Yunpeng Weng
Xing Tang
Xiaokun Zhang
Dugang Liu
...
Peiyang Liu
Bowei He
Weihong Luo
Xiuqiang He
Chen Ma
AI4TS
80
0
0
06 Mar 2025
Subgraph Federated Learning for Local Generalization
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedML
OOD
84
1
0
06 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
Yixin Su
Wei Jiang
Fangquan Lin
Cheng Yang
S. Erfani
Junhao Gan
Yunxiang Zhao
Ruixuan Li
Rui-Xun Zhang
CML
65
0
0
05 Mar 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Nemat Gholinejad
M. H. Chehreghani
102
3
0
20 Feb 2025
Cross-View Graph Consistency Learning for Invariant Graph Representations
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen
Zhiming Li
Hua Mao
Wai Lok Woo
Xi Peng
73
0
0
20 Feb 2025
Unleashing the Power of Large Language Model for Denoising Recommendation
Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang
Zhi Zheng
Yongduo Sui
Hui Xiong
111
0
0
13 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
85
0
0
06 Feb 2025
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
Chu Zhao
Enneng Yang
Yuliang Liang
Jianzhe Zhao
G. Guo
Xingwei Wang
32
1
0
28 Jan 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation
A Contrastive Framework with User, Item and Review Alignment for Recommendation
Hoang V. Dong
Yuan Fang
Hady W. Lauw
37
2
0
21 Jan 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
76
18
0
17 Jan 2025
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
Q. Liu
Zhaopeng Qiu
Xiangyu Zhao
X. Wu
Zijian Zhang
Tong Bill Xu
Feng Tian
34
0
0
31 Dec 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems
Mitigating Propensity Bias of Large Language Models for Recommender Systems
Guixian Zhang
Guan Yuan
Debo Cheng
Lin Liu
Jiuyong Li
Shichao Zhang
44
2
0
30 Sep 2024
Large Language Model Enhanced Hard Sample Identification for Denoising
  Recommendation
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation
Tianrui Song
Wenshuo Chao
Hao Liu
24
3
0
16 Sep 2024
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation
Li Wang
Qiang Wu
Min Xu
22
1
0
05 Sep 2024
Exploiting Preferences in Loss Functions for Sequential Recommendation
  via Weak Transitivity
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
H. Chung
Jungtaek Kim
Hyungeun Jo
Hyungwon Choi
39
0
0
01 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
51
5
0
01 Aug 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
25
1
0
27 Apr 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the
  Potential of High-Order Connectivity
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
Yukui Hou
Jin-Duk Park
Won-Yong Shin
23
13
0
22 Apr 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
Siyi Lin
Chongming Gao
Jiawei Chen
Sheng Zhou
Binbin Hu
Yan Feng
Chun-Yen Chen
Can Wang
24
6
0
18 Apr 2024
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile
  Games under Consumption Uncertainty
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
Peijie Sun
Yifan Wang
Min Zhang
Chuhan Wu
Yan Fang
Hong Zhu
Yuan Fang
Meng Wang
OffRL
33
10
0
12 Apr 2024
Balancing Information Perception with Yin-Yang: Agent-Based Information
  Neutrality Model for Recommendation Systems
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems
Mengyan Wang
Yuxuan Hu
Shiqing Wu
Weihua Li
Quan-wei Bai
V. Rupar
16
1
0
07 Apr 2024
Generative-Contrastive Heterogeneous Graph Neural Network
Generative-Contrastive Heterogeneous Graph Neural Network
Yu-Chiang Frank Wang
Lei Sang
Yi Zhang
Yiwen Zhang
X. Wu
50
0
0
03 Apr 2024
How Does Message Passing Improve Collaborative Filtering?
How Does Message Passing Improve Collaborative Filtering?
Mingxuan Ju
William Shiao
Zhichun Guo
Yanfang Ye
Yozen Liu
Neil Shah
Tong Zhao
40
4
0
27 Mar 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation
QoS-Aware Graph Contrastive Learning for Web Service Recommendation
Jeongwhan Choi
Duksan Ryu
25
2
0
06 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Jeongwhan Choi
Hyowon Wi
C. Lee
Sung-Bae Cho
Dongha Lee
Noseong Park
DiffM
41
2
0
27 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to
  Poisoning Attacks
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
AAML
26
7
0
30 Nov 2023
Contrastive Multi-Level Graph Neural Networks for Session-based
  Recommendation
Contrastive Multi-Level Graph Neural Networks for Session-based Recommendation
F. Wang
Xingyu Gao
Zhenyu Chen
Lei Lyu
16
12
0
06 Nov 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
36
0
0
23 Sep 2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social
  Recommendation
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation
Dezhao Yang
Jianghong Ma
Shanshan Feng
Haijun Zhang
Zhao Zhang
18
0
0
30 Aug 2023
How Expressive are Graph Neural Networks in Recommendation?
How Expressive are Graph Neural Networks in Recommendation?
Xuheng Cai
Lianghao Xia
Xubin Ren
Chao Huang
32
6
0
22 Aug 2023
Toward a Better Understanding of Loss Functions for Collaborative
  Filtering
Toward a Better Understanding of Loss Functions for Collaborative Filtering
Seongmin Park
Mincheol Yoon
Jae-woong Lee
Hogun Park
Jongwuk Lee
26
14
0
11 Aug 2023
Sharpness-Aware Graph Collaborative Filtering
Sharpness-Aware Graph Collaborative Filtering
Huiyuan Chen
Chin-Chia Michael Yeh
Yujie Fan
Yan Zheng
Junpeng Wang
Vivian Lai
Mahashweta Das
Hao Yang
26
5
0
18 Jul 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation
Knowledge Graph Self-Supervised Rationalization for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chunzhen Huang
27
88
0
06 Jul 2023
Preference or Intent? Double Disentangled Collaborative Filtering
Preference or Intent? Double Disentangled Collaborative Filtering
Chao Wang
Hengshu Zhu
Dazhong Shen
Wei Yu Wu
Hui Xiong
28
1
0
18 May 2023
Explainable Recommender with Geometric Information Bottleneck
Explainable Recommender with Geometric Information Bottleneck
Hanqi Yan
Lin Gui
Menghan Wang
Kun Zhang
Yulan He
13
2
0
09 May 2023
GIF: A General Graph Unlearning Strategy via Influence Function
GIF: A General Graph Unlearning Strategy via Influence Function
Jiancan Wu
Yi Yang
Yuchun Qian
Yongduo Sui
Xiang Wang
Xiangnan He
MU
28
49
0
06 Apr 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for
  Recommendation
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai
Chao Huang
Lianghao Xia
Xubin Ren
18
198
0
16 Feb 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network
  Approaches for Recommender Systems
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
Nikzad Chizari
Niloufar Shoeibi
María N. Moreno-García
28
13
0
18 Jan 2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan
Yi Liu
Bohan Li
Hongzhi Yin
24
66
0
13 Jan 2023
Data Augmentation on Graphs: A Technical Survey
Data Augmentation on Graphs: A Technical Survey
Jiajun Zhou
Chenxuan Xie
Shengbo Gong
Z. Wen
Xiangyu Zhao
Qi Xuan
Xiaoniu Yang
AI4TS
21
8
0
20 Dec 2022
Robust Graph Representation Learning via Predictive Coding
Robust Graph Representation Learning via Predictive Coding
Billy Byiringiro
Tommaso Salvatori
Thomas Lukasiewicz
OOD
25
6
0
09 Dec 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via
  Knowledge Distillation
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
Zhen Tian
Ting Bai
Ziyan Zhang
Zhiyuan Xu
Kangyi Lin
Ji-Rong Wen
Wayne Xin Zhao
21
18
0
21 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering
Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
17
39
0
17 Nov 2022
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