Papers citing 'Self-supervised Graph Learning for Recommendation'

Title
GUARD: Graph Universal Adversarial DefenseInternational Conference on Information and Knowledge Management (CIKM), 2022 Jintang Li Jie Liao Ruofan Wu Liang Chen Zibin Zheng Jiawang Dan Changhua Meng Weiqiang Wang AAML 210 10 0 20 Apr 2022
Rumor Detection with Self-supervised Learning on Texts and Social Graph Yuan Gao Xiang Wang Xiangnan He Huamin Feng Yongdong Zhang SSL 90 58 0 19 Apr 2022
A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data Di Wu Peng Zhang Yi He Xin Luo 88 2 0 16 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation Yinan Zhang Pei Wang Congcong Liu Xiwei Zhao Hao Qi Changping Peng Junsheng Jin Changping Peng Zhangang Lin Jingping Shao GNN 118 13 0 08 Apr 2022
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative FilteringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Jun Hu Bryan Hooi Shengsheng Qian Quan Fang Changsheng Xu 108 46 0 05 Apr 2022
ELECRec: Training Sequential Recommenders as DiscriminatorsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Yong-Guang Chen Jia Li Caiming Xiong 460 21 0 05 Apr 2022
GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution AssignmentAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Junseok Lee Yunhak Oh Yeonjun In Namkyeong Lee Dongmin Hyun Chanyoung Park 171 23 0 04 Apr 2022
Multi-view Multi-behavior Contrastive Learning in RecommendationInternational Conference on Database Systems for Advanced Applications (DASFAA), 2022 Yiqing Wu Ruobing Xie Yongchun Zhu Xiang Ao Xin Chen Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Qing He 174 105 0 20 Mar 2022
Contrastive Meta Learning with Behavior Multiplicity for RecommendationWeb Search and Data Mining (WSDM), 2022 Wei Wei Chao Huang Lianghao Xia Yong-mei Xu Jiashu Zhao D. Yin 167 202 0 17 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive LearningThe Web Conference (WWW), 2022 Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 355 546 0 13 Feb 2022
Intent Contrastive Learning for Sequential RecommendationThe Web Conference (WWW), 2022 Yong-Guang Chen Zhiwei Liu Jia Li Julian McAuley Caiming Xiong 191 385 0 05 Feb 2022
Supervised Contrastive Learning for RecommendationKnowledge-Based Systems (KBS), 2022 Chun Yang 131 46 0 10 Jan 2022
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Yu Zhao Shaopeng Wei Huaming Du Xingyan Chen Qing Li Fuzhen Zhuang Jiaheng Liu Gang Kou 346 16 0 24 Dec 2021
GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation FrameworkIEEE Transactions on Network Science and Engineering (TNSE), 2021 Shichang Ding Xiangyang Luo Jinwei Wang Xiaoming Fu 390 22 0 18 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Shucheng Zhou Xing Xie Lei Chen Philip S. Yu 165 25 0 14 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 230 27 0 04 Dec 2021
Self-supervised Graph Learning for Occasional Group RecommendationInternational Journal of Intelligent Systems (IJIS), 2021 Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 365 8 0 04 Dec 2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems Weibin Li Mingkai He Zhengjie Huang Xianming Wang Shikun Feng Weiyue Su Yu Sun 184 4 0 02 Dec 2021
Quaternion-Based Graph Convolution Network for RecommendationWorld wide web (Bussum) (WWWB), 2021 Yaxing Fang Pengpeng Zhao Guanfeng Liu Yanchi Liu Victor S. Sheng Lei Zhao Xiaofang Zhou GNN 190 3 0 20 Nov 2021
Pre-training Graph Neural Network for Cross Domain RecommendationInternational Conference on Cognitive Machine Intelligence (ICCMI), 2021 Chen Wang Yueqing Liang Zhiwei Liu Tao Zhang Philip S. Yu 131 52 0 16 Nov 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Jinghao Zhang Yanqiao Zhu Qiang Liu Mengqi Zhang Shu Wu Liang Wang 246 74 0 01 Nov 2021
SimpleX: A Simple and Strong Baseline for Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2021 Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 216 193 0 26 Sep 2021
Multi-Sample based Contrastive Loss for Top-k RecommendationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021 Hao Tang Guoshuai Zhao Yuxia Wu Xueming Qian 153 38 0 01 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 222 48 0 24 Aug 2021
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation Zhiwei Liu Yong-Guang Chen Jia Li Philip S. Yu Julian McAuley Caiming Xiong 138 210 0 14 Aug 2021
Graph Trend Filtering Networks for RecommendationsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Shucheng Zhou Qing Li 210 116 0 12 Aug 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering Xin Zhou Aixin Sun Yong Liu Jie Zhang Chunyan Miao SSL 234 101 0 07 Jul 2021
Rethinking InfoNCE: How Many Negative Samples Do You Need?International Joint Conference on Artificial Intelligence (IJCAI), 2021 Chuhan Wu Fangzhao Wu Yongfeng Huang 191 56 0 27 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 366 382 0 27 Apr 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 785 1,534 0 04 Nov 2020
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization Kun Zhou Haibo Wang Wayne Xin Zhao Yutao Zhu Sirui Wang Fuzheng Zhang Zhongyuan Wang Ji-Rong Wen 298 987 0 18 Aug 2020
Contrastive Multi-View Representation Learning on GraphsInternational Conference on Machine Learning (ICML), 2020 Kaveh Hassani Amir Hosein Khas Ahmadi SSL 668 1,556 0 10 Jun 2020

GUARD: Graph Universal Adversarial DefenseInternational Conference on Information and Knowledge Management (CIKM), 2022

Ruofan Wu

210

10

0

20 Apr 2022

Rumor Detection with Self-supervised Learning on Texts and Social Graph

Xiang Wang

90

58

0

19 Apr 2022

A Multi-Metric Latent Factor Model for Analyzing High-Dimensional and Sparse data

88

2

0

16 Apr 2022

IA-GCN: Interactive Graph Convolutional Network for Recommendation

118

13

0

08 Apr 2022

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative FilteringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022

Bryan Hooi

108

46

0

05 Apr 2022

ELECRec: Training Sequential Recommenders as DiscriminatorsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

Yong-Guang Chen

Jia Li

Caiming Xiong

460

21

0

05 Apr 2022

GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution AssignmentAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022

Yeonjun In

171

23

0

04 Apr 2022

Multi-view Multi-behavior Contrastive Learning in RecommendationInternational Conference on Database Systems for Advanced Applications (DASFAA), 2022

174

105

0

20 Mar 2022

Contrastive Meta Learning with Behavior Multiplicity for RecommendationWeb Search and Data Mining (WSDM), 2022

Wei Wei

Chao Huang

Lianghao Xia

Yong-mei Xu

Jiashu Zhao

D. Yin

167

202

0

17 Feb 2022

Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive LearningThe Web Conference (WWW), 2022

355

546

0

13 Feb 2022

Intent Contrastive Learning for Sequential RecommendationThe Web Conference (WWW), 2022

191

385

0

05 Feb 2022

Supervised Contrastive Learning for RecommendationKnowledge-Based Systems (KBS), 2022

Chun Yang

131

46

0

10 Jan 2022

Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021

346

16

0

24 Dec 2021

GNN-Geo: A Graph Neural Network-based Fine-grained IP geolocation FrameworkIEEE Transactions on Network Science and Engineering (TNSE), 2021

390

22

0

18 Dec 2021

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering

Zheng Liu

Xing Xie

Lei Chen

Philip S. Yu

165

25

0

14 Dec 2021

A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation

230

27

0

04 Dec 2021

Self-supervised Graph Learning for Occasional Group RecommendationInternational Journal of Intelligent Systems (IJIS), 2021

365

8

0

04 Dec 2021

Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems

184

4

0

02 Dec 2021

Quaternion-Based Graph Convolution Network for RecommendationWorld wide web (Bussum) (WWWB), 2021

190

3

0

20 Nov 2021

Pre-training Graph Neural Network for Cross Domain RecommendationInternational Conference on Cognitive Machine Intelligence (ICCMI), 2021

Philip S. Yu

131

52

0

16 Nov 2021

Latent Structure Mining with Contrastive Modality Fusion for Multimedia RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021

Liang Wang

246

74

0

01 Nov 2021

SimpleX: A Simple and Strong Baseline for Collaborative FilteringInternational Conference on Information and Knowledge Management (CIKM), 2021

Kelong Mao

Jieming Zhu

216

193

0

26 Sep 2021

Multi-Sample based Contrastive Loss for Top-k RecommendationIEEE transactions on multimedia (IEEE Trans. Multimedia), 2021

153

38

0

01 Sep 2021

Graph Neural Networks: Methods, Applications, and Opportunities

Lilapati Waikhom

Ripon Patgiri

GNN

222

48

0

24 Aug 2021

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Philip S. Yu

138

210

0

14 Aug 2021

Graph Trend Filtering Networks for RecommendationsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021

Xiangyu Zhao

210

116

0

12 Aug 2021