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Graph Learning based Recommender Systems: A Review

Graph Learning based Recommender Systems: A Review

International Joint Conference on Artificial Intelligence (IJCAI), 2021
13 May 2021
Shoujin Wang
Liang Hu
Yan Wang
Xiangnan He
Quan.Z Sheng
M. Orgun
LongBing Cao
F. Ricci
Philip S. Yu
ArXiv (abs)PDFHTML

Papers citing "Graph Learning based Recommender Systems: A Review"

50 / 55 papers shown
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
A Deep Latent Factor Graph Clustering with Fairness-Utility Trade-off Perspective
Siamak Ghodsi
Amjad Seyedi
Tai Le Quy
Fariba Karimi
Eirini Ntoutsi
166
1
0
27 Oct 2025
Multitask Learning with Learned Task Relationships
Multitask Learning with Learned Task Relationships
Zirui Wan
Stefan Vlaski
143
0
0
12 Oct 2025
DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
Xue-Yong Fu
Elena Khasanova
Md Tahmid Rahman Laskar
Harsh Saini
Shashi Bhushan TN
CLLALM
210
0
0
07 Oct 2025
Words to Waves: Emotion-Adaptive Music Recommendation System
Words to Waves: Emotion-Adaptive Music Recommendation System
Apoorva Chavali
Reeve Menezes
148
0
0
17 Sep 2025
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain RecommendationACM Conference on Recommender Systems (RecSys), 2025
Renzhi Wu
Junjie Yang
Li Chen
Hong Yu Li
Li Yu
Hong Yan
122
2
0
03 Sep 2025
SemSR: Semantics aware robust Session-based Recommendations
SemSR: Semantics aware robust Session-based Recommendations
Jyoti Narwariya
Priyanka Gupta
Muskan Gupta
Jyotsana Khatri
Lovekesh Vig
104
1
0
28 Aug 2025
Dynamic Mixture-of-Experts for Incremental Graph Learning
Dynamic Mixture-of-Experts for Incremental Graph Learning
Lecheng Kong
Theodore Vasiloudis
Seongjun Yun
Han Xie
Xiang Song
CLL
212
0
0
13 Aug 2025
FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval
FullRecall: A Semantic Search-Based Ranking Approach for Maximizing Recall in Patent Retrieval
Amna Ali
Liyanage C. De Silva
Pg Emeroylariffion Abas
174
0
0
20 Jul 2025
Heterogeneous Graph Backdoor Attack
Heterogeneous Graph Backdoor Attack
Jiawei Chen
Lusi Li
Daniel Takabi
Masha Sosonkina
Rui Ning
AAML
227
0
0
30 May 2025
Graphs are everywhere -- Psst! In Music Recommendation too
Graphs are everywhere -- Psst! In Music Recommendation too
Bharani Jayakumar
Orkun Özoğlu
313
0
0
03 Apr 2025
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study
Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study
Nazarii Drushchak
Vladyslava Tyshchenko
Nataliya Polyakovska
321
3
0
27 Feb 2025
Modeling Temporal Positive and Negative Excitation for Sequential
  Recommendation
Modeling Temporal Positive and Negative Excitation for Sequential RecommendationThe Web Conference (WWW), 2023
Chengkai Huang
Shoujin Wang
Xianzhi Wang
Lina Yao
251
17
0
29 Oct 2024
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
Dongqi Fu
Liri Fang
Zihao Li
Hanghang Tong
Vetle I. Torvik
Jingrui He
328
4
0
16 Oct 2024
GraphCroc: Cross-Correlation Autoencoder for Graph Structural
  Reconstruction
GraphCroc: Cross-Correlation Autoencoder for Graph Structural ReconstructionNeural Information Processing Systems (NeurIPS), 2024
Shijin Duan
Ruyi Ding
Jiaxing He
A. A. Ding
Yunsi Fei
Xiaolin Xu
204
0
0
04 Oct 2024
EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender
  Systems Graphs
EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs
Utkarsh Priyam
Hemit Shah
Edoardo Botta
DiffM
257
5
0
23 Sep 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation
Graph Representation Learning via Causal Diffusion for Out-of-Distribution RecommendationThe Web Conference (WWW), 2024
Chu Zhao
Enneng Yang
Yuliang Liang
Pengxiang Lan
Yuting Liu
Jianzhe Zhao
Guibing Guo
Xingwei Wang
OODDiffMCML
836
19
0
01 Aug 2024
Review of Explainable Graph-Based Recommender Systems
Review of Explainable Graph-Based Recommender SystemsACM Computing Surveys (ACM CSUR), 2024
Thanet Markchom
Huizhi Liang
James Ferryman
XAI
449
3
0
31 Jul 2024
Async Learned User Embeddings for Ads Delivery Optimization
Async Learned User Embeddings for Ads Delivery Optimization
Mingwei Tang
Meng Liu
Hong Yu Li
Junjie Yang
Chenglin Wei
...
Labib Fawaz
Li Li
Hongnan Wang
Bill Zhu
Sri Reddy
OffRLAI4TS
181
3
0
09 Jun 2024
Model Selection with Model Zoo via Graph Learning
Model Selection with Model Zoo via Graph Learning
Ziyu Li
Hilco van der Wilk
Danning Zhan
Megha Khosla
A. Bozzon
Rihan Hai
262
7
0
05 Apr 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Personalized Negative Reservoir for Incremental Learning in Recommender Systems
Antonios Valkanas
Yuening Wang
Yingxue Zhang
Mark Coates
CLL
305
2
0
06 Mar 2024
Attention-based Dynamic Multilayer Graph Neural Networks for Loan
  Default Prediction
Attention-based Dynamic Multilayer Graph Neural Networks for Loan Default Prediction
Sahab Zandi
Kamesh Korangi
María Óskarsdóttir
Christophe Mues
Cristián Bravo
255
33
0
01 Feb 2024
Disentangled Condensation for Large-scale Graphs
Disentangled Condensation for Large-scale Graphs
Zhenbang Xiao
Shunyu Liu
Yu Wang
Tongya Zheng
Weilong Dai
Mingli Song
Tongya Zheng
DD
731
13
0
18 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy
  and Directions
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and DirectionsACM Computing Surveys (ACM CSUR), 2024
Cheng-Te Li
Yu-Che Tsai
Chih-Yao Chen
Jay Chiehen Liao
LMTDAI4CE
281
30
0
04 Jan 2024
Unified Pretraining for Recommendation via Task Hypergraphs
Unified Pretraining for Recommendation via Task Hypergraphs
Mingdai Yang
Zhiwei Liu
Liangwei Yang
Xiao-lin Liu
Chen Wang
Hao Peng
Philip S. Yu
247
17
0
20 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu Wang
Olivera Kotevska
Philip S. Yu
Hanyu Wang
444
38
0
31 Aug 2023
Everything Perturbed All at Once: Enabling Differentiable Graph Attacks
Everything Perturbed All at Once: Enabling Differentiable Graph AttacksThe Web Conference (WWW), 2023
Haoran Liu
Bokun Wang
Jianling Wang
Xiangjue Dong
Tianbao Yang
James Caverlee
AAML
286
4
0
29 Aug 2023
Graph-based Alignment and Uniformity for Recommendation
Graph-based Alignment and Uniformity for RecommendationInternational Conference on Information and Knowledge Management (CIKM), 2023
Liangwei Yang
Zhiwei Liu
Chen Wang
Mingdai Yang
Xiao-lin Liu
Jing Ma
Philip S. Yu
301
24
0
18 Aug 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A
  Survey
Privacy-Preserving Graph Machine Learning from Data to Computation: A SurveySIGKDD Explorations (SIGKDD Explor.), 2023
Dongqi Fu
Wenxuan Bao
Ross Maciejewski
Hanghang Tong
Jingrui He
425
19
0
10 Jul 2023
OSP: Boosting Distributed Model Training with 2-stage Synchronization
OSP: Boosting Distributed Model Training with 2-stage SynchronizationInternational Conference on Parallel Processing (ICPP), 2023
Zixuan Chen
Lei Shi
Xuandong Liu
Jiahui Li
Sen Liu
Yang Xu
327
5
0
29 Jun 2023
Consumer-side Fairness in Recommender Systems: A Systematic Survey of
  Methods and Evaluation
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and EvaluationArtificial Intelligence Review (AIR), 2023
Bjørnar Vassøy
H. Langseth
FaML
198
13
0
16 May 2023
A Survey of Graph Prompting Methods: Techniques, Applications, and
  Challenges
A Survey of Graph Prompting Methods: Techniques, Applications, and Challenges
Xuansheng Wu
Kaixiong Zhou
Mingchen Sun
Xin Wang
Ninghao Liu
321
13
0
13 Mar 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs
STERLING: Synergistic Representation Learning on Bipartite GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023
Baoyu Jing
Yuchen Yan
Kaize Ding
Chanyoung Park
Yada Zhu
Huan Liu
Hanghang Tong
SSL
324
25
0
25 Jan 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
199
17
0
18 Jan 2023
A Survey of Graph Neural Networks for Social Recommender Systems
A Survey of Graph Neural Networks for Social Recommender SystemsACM Computing Surveys (ACM CSUR), 2022
Kartik Sharma
Yeon-Chang Lee
S. Nambi
Aditya Salian
Shlok Shah
Sang-Wook Kim
Srijan Kumar
384
242
0
08 Dec 2022
Ranking-based Group Identification via Factorized Attention on Social
  Tripartite Graph
Ranking-based Group Identification via Factorized Attention on Social Tripartite GraphWeb Search and Data Mining (WSDM), 2022
Mingdai Yang
Zhiwei Liu
Liangwei Yang
Xiao-lin Liu
Chen Wang
Hao Peng
Philip S. Yu
169
16
0
02 Nov 2022
Efficient Graph based Recommender System with Weighted Averaging of
  Messages
Efficient Graph based Recommender System with Weighted Averaging of MessagesInternational Conference on AI-ML-Systems (ICA), 2022
Faizan Ahemad
90
1
0
30 Sep 2022
Modeling Multi-interest News Sequence for News Recommendation
Modeling Multi-interest News Sequence for News Recommendation
Rongyao Wang
Sibo Wei
259
3
0
15 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical
  Analysis
Graph-Time Convolutional Neural Networks: Architecture and Theoretical AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Mohammad Sabbaqi
Elvin Isufi
GNNAI4TS
262
27
0
30 Jun 2022
Graph Condensation via Receptive Field Distribution Matching
Graph Condensation via Receptive Field Distribution Matching
Mengyang Liu
Shanchuan Li
Xinshi Chen
Le Song
DD
264
65
0
28 Jun 2022
LightFR: Lightweight Federated Recommendation with Privacy-preserving
  Matrix Factorization
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Honglei Zhang
Fangyuan Luo
Jun Wu
Xiangnan He
Yidong Li
366
129
0
23 Jun 2022
Time Interval-enhanced Graph Neural Network for Shared-account
  Cross-domain Sequential Recommendation
Time Interval-enhanced Graph Neural Network for Shared-account Cross-domain Sequential RecommendationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Lei Guo
Jinyu Zhang
Lilia Tang
Tong Chen
Lei Zhu
Hongzhi Yin
155
60
0
16 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures
A Bird's-Eye Tutorial of Graph Attention Architectures
Kaustubh D. Dhole
Carl Yang
286
1
0
06 Jun 2022
COIN: Co-Cluster Infomax for Bipartite Graphs
COIN: Co-Cluster Infomax for Bipartite Graphs
Baoyu Jing
Yuchen Yan
Yada Zhu
Hanghang Tong
382
25
0
31 May 2022
Sequential/Session-based Recommendations: Challenges, Approaches,
  Applications and Opportunities
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and OpportunitiesAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Shoujin Wang
Tao Gui
Liang Hu
Xiuzhen Zhang
Yan Wang
Charu C. Aggarwal
275
58
0
22 May 2022
Physics-Informed Graph Learning
Physics-Informed Graph Learning
Ciyuan Peng
Xiwei Xu
Vidya Saikrishna
Huan Liu
PINNAI4CE
341
9
0
22 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective
Survey on Graph Neural Network Acceleration: An Algorithmic PerspectiveInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Xin Liu
Yurui Lai
Lei Deng
Guoqi Li
Xiaochun Ye
Xiaochun Ye
Shirui Pan
Yuan Xie
GNN
204
53
0
10 Feb 2022
Modeling Complex Dependencies for Session-based Recommendations via
  Graph Neural Networks
Modeling Complex Dependencies for Session-based Recommendations via Graph Neural Networks
Qian Zhang
Sibo Wei
GNN
146
1
0
29 Jan 2022
Decentralized Multi-Target Cross-Domain Recommendation for
  Multi-Organization Collaborations
Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
Enmao Diao
Vahid Tarokh
Jie Ding
221
0
0
26 Oct 2021
Aspect-driven User Preference and News Representation Learning for News
  Recommendation
Aspect-driven User Preference and News Representation Learning for News Recommendation
Rongyao Wang
Sibo Wei
Shoujin Wang
Xueping Peng
Hao Wu
Qian Zhang
AI4TS
189
18
0
12 Oct 2021
Recommender systems based on graph embedding techniques: A comprehensive
  review
Recommender systems based on graph embedding techniques: A comprehensive review
Yue Deng
357
34
0
20 Sep 2021
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