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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 / 225 papers shown
Title
Criteria Tell You More than Ratings: Criteria Preference-Aware Light
  Graph Convolution for Effective Multi-Criteria Recommendation
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
Jin-Duk Park
Siqing Li
Xin Cao
Won-Yong Shin
17
7
0
30 May 2023
Multi-behavior Self-supervised Learning for Recommendation
Multi-behavior Self-supervised Learning for Recommendation
Jingcao Xu
Chaokun Wang
Cheng Wu
Yang Song
Kai Zheng
Xiaowei Wang
Changping Wang
Guorui Zhou
Kun Gai
23
31
0
22 May 2023
Preference or Intent? Double Disentangled Collaborative Filtering
Preference or Intent? Double Disentangled Collaborative Filtering
Chao Wang
Hengshu Zhu
Dazhong Shen
Wei Wu
Hui Xiong
36
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
21
2
0
09 May 2023
Disentangled Contrastive Collaborative Filtering
Disentangled Contrastive Collaborative Filtering
Xubin Ren
Lianghao Xia
Jiashu Zhao
Dawei Yin
Chao Huang
35
76
0
04 May 2023
GARCIA: Powering Representations of Long-tail Query with
  Multi-granularity Contrastive Learning
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning
Weifan Wang
Binbin Hu
Zhicheng Peng
Mingjie Zhong
Qing Cui
Zhongyi Liu
Guannan Zhang
Jun Zhou
21
3
0
25 Apr 2023
Graph Collaborative Signals Denoising and Augmentation for
  Recommendation
Graph Collaborative Signals Denoising and Augmentation for Recommendation
Ziwei Fan
Ke Xu
Zhang Dong
Hao Peng
Jiawei Zhang
Philip S. Yu
40
40
0
06 Apr 2023
Zero-Shot Next-Item Recommendation using Large Pretrained Language
  Models
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
Lei Wang
Ee-Peng Lim
LRM
26
54
0
06 Apr 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
38
51
0
06 Apr 2023
Attribute-Consistent Knowledge Graph Representation Learning for
  Multi-Modal Entity Alignment
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment
Qian Li
Shu Guo
Yang Luo
Cheng Ji
Lihong Wang
Shuaiyi Nie
Jianxin Li
29
31
0
04 Apr 2023
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive
  Learning
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning
Chihiro Noguchi
Toshihiro Tanizawa
SSL
19
9
0
02 Mar 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive
  Learning for Recommendation
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Guoqiang Sun
Yibin Shen
Sijing Zhou
Xiang Chen
Hongyan Liu
Chunming Wu
Chenyi Lei
Xianhui Wei
Fei Fang
20
10
0
28 Feb 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
29
199
0
16 Feb 2023
Adap-$τ$: Adaptively Modulating Embedding Magnitude for
  Recommendation
Adap-τττ: Adaptively Modulating Embedding Magnitude for Recommendation
Jiawei Chen
Junkang Wu
Jiancan Wu
Sheng Zhou
Xuezhi Cao
Xiangnan He
38
30
0
09 Feb 2023
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking
Shanlei Mu
Penghui Wei
Wayne Xin Zhao
Shaoguo Liu
Liangji Wang
Bo Zheng
33
4
0
06 Feb 2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in
  Recommendation
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation
Junjie Huang
Qi Cao
Ruobing Xie
Shaoliang Zhang
Feng Xia
Huawei Shen
Xueqi Cheng
24
9
0
05 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
32
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
34
8
0
20 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic
  Survey
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey
Shaopeng Wei
Yu Zhao
Xingyan Chen
Qing Li
Fuzhen Zhuang
Ji Liu
Fuji Ren
Gang Kou
AI4CE
32
5
0
17 Dec 2022
Robust Graph Representation Learning via Predictive Coding
Robust Graph Representation Learning via Predictive Coding
Billy Byiringiro
Tommaso Salvatori
Thomas Lukasiewicz
OOD
31
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
29
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
40
0
17 Nov 2022
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced
  Recommendation
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation
Haolun Wu
Yingxue Zhang
Chen Ma
Wei Guo
Ruiming Tang
Xue Liu
Mark J. Coates
33
4
0
11 Nov 2022
Ranking-based Group Identification via Factorized Attention on Social
  Tripartite Graph
Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph
Mingdai Yang
Zhiwei Liu
Liangwei Yang
Xiao-lin Liu
Chen Wang
Hao Peng
Philip S. Yu
20
11
0
02 Nov 2022
Self-supervised Graph-based Point-of-interest Recommendation
Self-supervised Graph-based Point-of-interest Recommendation
Yongqian Li
Tong Chen
P. Zhang
Zi Huang
Hongzhi Yin
28
4
0
22 Oct 2022
Efficient Bi-Level Optimization for Recommendation Denoising
Efficient Bi-Level Optimization for Recommendation Denoising
Zongwei Wang
Min Gao
Wentao Li
Junliang Yu
Linxin Guo
Hongzhi Yin
24
27
0
19 Oct 2022
Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
Self-supervised Graph Learning for Long-tailed Cognitive Diagnosis
Shanshan Wang
Zheni Zeng
Xun Yang
Xingyi Zhang
AI4Ed
11
27
0
15 Oct 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking
Graph Soft-Contrastive Learning via Neighborhood Ranking
Zhiyuan Ning
P. Wang
Pengyang Wang
Ziyue Qiao
Wei Fan
Denghui Zhang
Yi Du
Yuanchun Zhou
23
15
0
28 Sep 2022
SR-GCL: Session-Based Recommendation with Global Context Enhanced
  Augmentation in Contrastive Learning
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning
Eunkyu Oh
Taehun Kim
Minsoo Kim
Yunhu Ji
Sushil Khyalia
30
1
0
22 Sep 2022
ContrastVAE: Contrastive Variational AutoEncoder for Sequential
  Recommendation
ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation
Yu Wang
Hengrui Zhang
Zhiwei Liu
Liangwei Yang
Philip S. Yu
DRL
41
48
0
27 Aug 2022
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario
  Personalized Recommendation
Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation
Yuanliang Zhang
Xiaofeng Wang
Jinxin Hu
Ke Gao
Chenyi Lei
Fei Fang
21
18
0
24 Aug 2022
Disentangled Contrastive Learning for Social Recommendation
Disentangled Contrastive Learning for Social Recommendation
Jiahao Wu
Wenqi Fan
Jingfan Chen
Shengcai Liu
Qing Li
Jiaheng Zhang
32
67
0
18 Aug 2022
Self-Supervised Hypergraph Transformer for Recommender Systems
Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia
Chao Huang
Chuxu Zhang
32
109
0
28 Jul 2022
SPR:Supervised Personalized Ranking Based on Prior Knowledge for
  Recommendation
SPR:Supervised Personalized Ranking Based on Prior Knowledge for Recommendation
Chun Yang
Shicai Fan
OffRL
19
0
0
07 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu-Chiang Frank Wang
Yuying Zhao
Yi Zhang
Tyler Derr
GNN
37
61
0
03 Jul 2022
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive
  Learning
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Iriwn King
44
90
0
09 Jun 2022
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiangsen Pei
HAI
37
50
0
06 Jun 2022
Enhancing Sequential Recommendation with Graph Contrastive Learning
Enhancing Sequential Recommendation with Graph Contrastive Learning
Yixin Zhang
Yong-jin Liu
Yonghui Xu
Hao Xiong
Chenyi Lei
Weiliang He
Li-zhen Cui
Chunyan Miao
24
57
0
30 May 2022
Knowledge Graph Contrastive Learning for Recommendation
Knowledge Graph Contrastive Learning for Recommendation
Yuhao Yang
Chao Huang
Lianghao Xia
Chenliang Li
35
323
0
02 May 2022
Poisoning Deep Learning Based Recommender Model in Federated Learning
  Scenarios
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
Dazhong Rong
Qinming He
Jianhai Chen
FedML
27
41
0
26 Apr 2022
Hypergraph Contrastive Collaborative Filtering
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiashu Zhao
Dawei Yin
J. Huang
38
304
0
26 Apr 2022
Cross Pairwise Ranking for Unbiased Item Recommendation
Cross Pairwise Ranking for Unbiased Item Recommendation
Qi Wan
Xiangnan He
Xiang Wang
Jiancan Wu
Wei Guo
Ruiming Tang
CML
27
36
0
26 Apr 2022
Graph Neural Network based Agent in Google Research Football
Graph Neural Network based Agent in Google Research Football
Yizhan Niu
Jinglong Liu
Yuhao Shi
Jiren Zhu
GNN
27
2
0
23 Apr 2022
Learnable Model Augmentation Self-Supervised Learning for Sequential
  Recommendation
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation
Yongjing Hao
Pengpeng Zhao
Xuefeng Xian
Guanfeng Liu
Deqing Wang
Lei Zhao
Yanchi Liu
Victor S. Sheng
AI4TS
LRM
SSL
17
2
0
21 Apr 2022
GUARD: Graph Universal Adversarial Defense
GUARD: Graph Universal Adversarial Defense
Jintang Li
Jie Liao
Ruofan Wu
Liang Chen
Zibin Zheng
Jiawang Dan
Changhua Meng
Weiqiang Wang
AAML
23
8
0
20 Apr 2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Rumor Detection with Self-supervised Learning on Texts and Social Graph
Yuan Gao
Xiang Wang
Xiangnan He
Huamin Feng
Yongdong Zhang
SSL
26
45
0
19 Apr 2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and
  Sparse data
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data
Di Wu
Peng Zhang
Yi He
Xin Luo
8
1
0
16 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Yinan Zhang
Pei Wang
Congcong Liu
Xiwei Zhao
Hao Qi
Jie He
Junsheng Jin
Changping Peng
Zhangang Lin
Jingping Shao
GNN
35
6
0
08 Apr 2022
MGDCF: Distance Learning via Markov Graph Diffusion for Neural
  Collaborative Filtering
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
Jun Hu
Bryan Hooi
Shengsheng Qian
Quan Fang
Changsheng Xu
23
25
0
05 Apr 2022
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