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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
CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to
  Mitigate Catastrophic Forgetting in Recommender Systems
CF-KAN: Kolmogorov-Arnold Network-based Collaborative Filtering to Mitigate Catastrophic Forgetting in Recommender Systems
Jin-Duk Park
Kyung-Min Kim
Won-Yong Shin
KELM
CLL
33
3
0
25 Aug 2024
Fair Augmentation for Graph Collaborative Filtering
Fair Augmentation for Graph Collaborative Filtering
Ludovico Boratto
Francesco Fabbri
Gianni Fenu
Mirko Marras
Giacomo Medda
48
2
0
22 Aug 2024
EasyRec: Simple yet Effective Language Models for Recommendation
EasyRec: Simple yet Effective Language Models for Recommendation
Xubin Ren
Chao Huang
SyDa
24
5
0
16 Aug 2024
Bundle Recommendation with Item-level Causation-enhanced Multi-view
  Learning
Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
Huy-Son Nguyen
Tuan-Nghia Bui
Long-Hai Nguyen
Hoang Manh-Hung
Cam-Van Thi Nguyen
Hoang-Quynh Le
Duc-Trong Le
20
0
0
13 Aug 2024
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning
  for Recommendation
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
Junfeng Long
Hao Wu
43
0
0
09 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
34
1
0
03 Aug 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
50
0
0
01 Aug 2024
Contrastive Graph Representation Learning with Adversarial Cross-view
  Reconstruction and Information Bottleneck
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck
Yuntao Shou
Haozhi Lan
Xiangyong Cao
43
11
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
53
6
0
01 Aug 2024
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic
  Weighted Directed Graphs
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs
Hongxun Zhou
Xiangyu Chen
Ye Yuan
19
0
0
31 Jul 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for
  Academic Reviewer Recommendation
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
Weibin Liao
Yifan Zhu
Yanyan Li
Qi Zhang
Zhonghong Ou
Xuesong Li
28
4
0
30 Jul 2024
Adaptive Self-supervised Robust Clustering for Unstructured Data with
  Unknown Cluster Number
Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number
Chen-Lu Ding
Jiancan Wu
Wei Lin
Shiyang Shen
Xiang Wang
Yancheng Yuan
44
0
0
29 Jul 2024
Your Graph Recommender is Provably a Single-view Graph Contrastive
  Learning
Your Graph Recommender is Provably a Single-view Graph Contrastive Learning
Wenjie Yang
Shengzhong Zhang
Jiaxing Guo
Zengfeng Huang
24
1
0
25 Jul 2024
Orthogonal Hyper-category Guided Multi-interest Elicitation for
  Micro-video Matching
Orthogonal Hyper-category Guided Multi-interest Elicitation for Micro-video Matching
Beibei Li
Beihong Jin
Yisong Yu
Yiyuan Zheng
Jiageng Song
Wei Zhuo
Tao Xiang
18
0
0
20 Jul 2024
Heterogeneous Hypergraph Embedding for Recommendation Systems
Heterogeneous Hypergraph Embedding for Recommendation Systems
Darnbi Sakong
Viet Hung Vu
T. T. Huynh
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
Thanh Tam Nguyen
23
0
0
04 Jul 2024
ITEM: Improving Training and Evaluation of Message-Passing based GNNs
  for top-k recommendation
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation
Yannis Karmim
Elias Ramzi
Raphael Fournier SÑiehotta
Nicolas Thome
30
0
0
03 Jul 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
30
2
0
24 Jun 2024
On Softmax Direct Preference Optimization for Recommendation
On Softmax Direct Preference Optimization for Recommendation
Yuxin Chen
Junfei Tan
An Zhang
Zhengyi Yang
Leheng Sheng
Enzhi Zhang
Xiang Wang
Tat-Seng Chua
34
23
0
13 Jun 2024
Link Prediction in Bipartite Networks
Link Prediction in Bipartite Networks
Sükrü Demir Inan Özer
Günce Keziban Orman
Vincent Labatut
27
2
0
10 Jun 2024
RecDiff: Diffusion Model for Social Recommendation
RecDiff: Diffusion Model for Social Recommendation
Zongwei Li
Lianghao Xia
Chao Huang
42
15
0
01 Jun 2024
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Miaomiao Cai
Lei Chen
Yifan Wang
Haoyue Bai
Peijie Sun
Le Wu
Min Zhang
Meng Wang
34
11
0
31 May 2024
A Survey of Latent Factor Models in Recommender Systems
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat
Hafida Benhidour
Said Kerrache
LRM
BDL
43
1
0
28 May 2024
Graph Sparsification via Mixture of Graphs
Graph Sparsification via Mixture of Graphs
Guibin Zhang
Xiangguo Sun
Xinfeng Li
Kun Wang
Tianlong Chen
Shirui Pan
35
8
0
23 May 2024
Learning Partially Aligned Item Representation for Cross-Domain
  Sequential Recommendation
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation
Mingjia Yin
Hao Wang
Wei Guo
Yong Liu
Zhi Li
Sirui Zhao
Defu Lian
Enhong Chen
53
7
0
21 May 2024
Learning Structure and Knowledge Aware Representation with Large
  Language Models for Concept Recommendation
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation
Qingyao Li
Wei Xia
Kounianhua Du
Qiji Zhang
Weinan Zhang
Ruiming Tang
Yong Yu
AI4Ed
29
5
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
70
13
0
20 May 2024
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
DynLLM: When Large Language Models Meet Dynamic Graph Recommendation
Ziwei Zhao
Fake Lin
Xi Zhu
Zhi Zheng
Tong Xu
Shitian Shen
Xueying Li
Zikai Yin
Enhong Chen
38
6
0
13 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
25
1
0
27 Apr 2024
Mixed Supervised Graph Contrastive Learning for Recommendation
Mixed Supervised Graph Contrastive Learning for Recommendation
Weizhi Zhang
Liangwei Yang
Zihe Song
Henry Peng Zou
Ke Xu
Yuanjie Zhu
Philip S. Yu
45
2
0
24 Apr 2024
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online
  Recommendation System
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System
Lei Zheng
Ning Li
Weinan Zhang
Yong Yu
AI4TS
41
0
0
24 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
26
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
31
8
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
36
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
31
1
0
07 Apr 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Arjun Subramonian
Jian Kang
Yizhou Sun
AI4CE
37
4
0
04 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
58
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
42
4
0
27 Mar 2024
Stock Recommendations for Individual Investors: A Temporal Graph Network
  Approach with Diversification-Enhancing Contrastive Learning
Stock Recommendations for Individual Investors: A Temporal Graph Network Approach with Diversification-Enhancing Contrastive Learning
Youngbin Lee
Yejin Kim
Yongjae Lee
AIFin
26
1
0
27 Mar 2024
Graph Augmentation for Recommendation
Graph Augmentation for Recommendation
Qianru Zhang
Lianghao Xia
Xuheng Cai
Siu-keung Yiu
Chao Huang
Christian S. Jensen
31
5
0
25 Mar 2024
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation
Jiaheng Yu
Jing Li
Yue He
Kai Zhu
Shuyi Zhang
Wen Hu
24
0
0
22 Mar 2024
Towards Unified Modeling for Positive and Negative Preferences in
  Sign-Aware Recommendation
Towards Unified Modeling for Positive and Negative Preferences in Sign-Aware Recommendation
Yuting Liu
Yizhou Dang
Yuliang Liang
Qiang Liu
Guibing Guo
Jianzhe Zhao
Xingwei Wang
36
2
0
13 Mar 2024
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal
  Decoupling
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling
Hongyu Zhang
Dongyi Zheng
Lin Zhong
Xu Yang
Jiyuan Feng
Yu-Fei Feng
Qing Liao
18
2
0
05 Mar 2024
OpenGraph: Towards Open Graph Foundation Models
OpenGraph: Towards Open Graph Foundation Models
Lianghao Xia
Ben Kao
Chao Huang
AI4CE
40
37
0
02 Mar 2024
Does Negative Sampling Matter? A Review with Insights into its Theory
  and Applications
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
Zhen Yang
Ming Ding
Tinglin Huang
Yukuo Cen
Junshuai Song
Bin Xu
Yuxiao Dong
Jie Tang
36
9
0
27 Feb 2024
Doubly Calibrated Estimator for Recommendation on Data Missing Not At
  Random
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random
Wonbin Kweon
Hwanjo Yu
42
13
0
26 Feb 2024
Linear-Time Graph Neural Networks for Scalable Recommendations
Linear-Time Graph Neural Networks for Scalable Recommendations
Jiahao Zhang
Rui Xue
Wenqi Fan
Xin Xu
Qing Li
Jian Pei
Xiaorui Liu
AI4CE
40
25
0
21 Feb 2024
Personalized Programming Guidance based on Deep Programming Learning
  Style Capturing
Personalized Programming Guidance based on Deep Programming Learning Style Capturing
Yingfan Liu
Renyu Zhu
Ming Gao
25
1
0
20 Feb 2024
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative
  Filtering
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
Peijie Sun
Le Wu
Kun Zhang
Xiangzhi Chen
Mengdi Wang
26
20
0
18 Feb 2024
Large Language Model with Graph Convolution for Recommendation
Large Language Model with Graph Convolution for Recommendation
Yingpeng Du
Ziteng Wang
Zhu Sun
Haoyan Chua
Hongzhi Liu
Zhonghai Wu
Yining Ma
Jie Zhang
Youchen Sun
43
7
0
14 Feb 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering
Frequency-aware Graph Signal Processing for Collaborative Filtering
Jiafeng Xia
Dongsheng Li
Hansu Gu
Tun Lu
Peng Zhang
Li Shang
Ning Gu
22
2
0
13 Feb 2024
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