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Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
v1v2v3v4 (latest)

Heterophily-Aware Fair Recommendation using Graph Convolutional Networks

31 January 2024
Nemat Gholinejad
M. H. Chehreghani
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "Heterophily-Aware Fair Recommendation using Graph Convolutional Networks"

25 / 25 papers shown
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
PBiLoss: Popularity-Aware Regularization to Improve Fairness in Graph-Based Recommender Systems
Mohammad Naeimi
Mostafa Haghir Chehreghani
368
0
0
25 Jul 2025
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
Narges Nemati
Mostafa Haghir Chehreghani
395
0
0
12 Jun 2025
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
Zahra Akhlaghi
Mostafa Haghir Chehreghani
AI4TS
273
1
0
18 Apr 2025
What Is Missing In Homophily? Disentangling Graph Homophily For Graph
  Neural Networks
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
Yilun Zheng
Sitao Luan
Lihui Chen
387
7
0
27 Jun 2024
Strong Transitivity Relations and Graph Neural Networks
Strong Transitivity Relations and Graph Neural Networks
Yassin Mohamadi
M. H. Chehreghani
GNN
263
4
0
01 Jan 2024
Item Graph Convolution Collaborative Filtering for Inductive
  Recommendations
Item Graph Convolution Collaborative Filtering for Inductive RecommendationsEuropean Conference on Information Retrieval (ECIR), 2023
Edoardo DÁmico
Khalil Muhammad
E. Tragos
Barry Smyth
N. Hurley
A. Lawlor
GNN
224
12
0
28 Mar 2023
CPFair: Personalized Consumer and Producer Fairness Re-ranking for
  Recommender Systems
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender SystemsAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Mohammadmehdi Naghiaei
Hossein A. Rahmani
Yashar Deldjoo
FaML
220
127
0
17 Apr 2022
The Unfairness of Popularity Bias in Book Recommendation
The Unfairness of Popularity Bias in Book RecommendationInternational Workshop on Algorithmic Bias in Search and Recommendation (ABSR), 2022
Mohammadmehdi Naghiaei
Hossein A. Rahmani
M. Dehghan
FaML
279
37
0
27 Feb 2022
The Unfairness of Active Users and Popularity Bias in Point-of-Interest
  Recommendation
The Unfairness of Active Users and Popularity Bias in Point-of-Interest RecommendationInternational Workshop on Algorithmic Bias in Search and Recommendation (ABSR), 2022
Hossein A. Rahmani
Yashar Deldjoo
Ali Tourani
Mohammadmehdi Naghiaei
FaML
291
28
0
27 Feb 2022
How Powerful is Graph Convolution for Recommendation?
How Powerful is Graph Convolution for Recommendation?
Yifei Shen
Yongji Wu
Yao Zhang
Caihua Shan
Jun Zhang
Khaled B. Letaief
Dongsheng Li
GNN
281
131
0
17 Aug 2021
Self-supervised Graph Learning for Recommendation
Self-supervised Graph Learning for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Jiancan Wu
Xiang Wang
Fuli Feng
Xiangnan He
Liang Chen
Jianxun Lian
Xing Xie
SSL
729
1,636
0
21 Oct 2020
Disentangled Graph Collaborative Filtering
Disentangled Graph Collaborative Filtering
Xiang Wang
Hongye Jin
An Zhang
Xiangnan He
Tong Xu
Tat-Seng Chua
305
698
0
03 Jul 2020
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework
  for Web-scale Recommender Systems
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems
Menghan Wang
Yujie Lin
Guli Lin
Keping Yang
Xiao-ming Wu
AI4TS3DV
261
92
0
20 May 2020
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional NetworksInternational Conference on Learning Representations (ICLR), 2020
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
955
1,420
0
13 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
911
5,028
0
06 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network ApproachAAAI Conference on Artificial Intelligence (AAAI), 2020
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
306
629
0
28 Jan 2020
Neural Graph Collaborative Filtering
Neural Graph Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
541
3,721
0
20 May 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
2.4K
6,769
0
20 Dec 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
1.2K
9,531
0
01 Oct 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
1.1K
4,058
0
06 Jun 2018
Graph Attention Networks
Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
4.7K
25,503
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large GraphsNeural Information Processing Systems (NeurIPS), 2017
William L. Hamilton
Z. Ying
J. Leskovec
3.7K
19,271
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
2.2K
34,456
0
09 Sep 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
  One-Class Collaborative Filtering
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
580
2,286
0
04 Feb 2016
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit FeedbackConference on Uncertainty in Artificial Intelligence (UAI), 2009
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
589
6,514
0
09 May 2012
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