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Cited By
How Powerful is Graph Convolution for Recommendation?
17 August 2021
Yifei Shen
Yongji Wu
Yao Zhang
Caihua Shan
Jun Zhang
Khaled B. Letaief
Dongsheng Li
GNN
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Papers citing
"How Powerful is Graph Convolution for Recommendation?"
39 / 39 papers shown
Title
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
32
0
0
01 May 2025
MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation
Xu Guo
Tong Zhang
Fuyun Wang
Xudong Wang
X. Zhang
Xin Liu
Zhen Cui
20
0
0
23 Apr 2025
Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
Sirui Chen
Shen Han
Jiawei Chen
Binbin Hu
Sheng Zhou
Gang Wang
Yan Feng
C. L. P. Chen
C. Wang
OffRL
36
0
0
21 Mar 2025
ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)
Alejandro Ariza-Casabona
Nikos Kanakaris
Daniele Malitesta
34
0
0
20 Mar 2025
Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing
Maurizio Ferrari Dacrema
Michael Benigni
Nicola Ferro
29
0
0
10 Mar 2025
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
77
2
0
20 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks
Nemat Gholinejad
M. H. Chehreghani
102
3
0
20 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
Jin-Duk Park
Jaemin Yoo
Won-Yong Shin
55
1
0
13 Feb 2025
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen
Pushkar Mishra
Luca Franceschi
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
59
20
0
17 Jan 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
Zhangchi Zhu
Wei Zhang
28
0
0
16 Nov 2024
Differentially private and decentralized randomized power method
Julien Nicolas
César Sabater
Mohamed Maouche
Sonia Ben Mokhtar
Mark Coates
24
1
0
04 Nov 2024
Fair Augmentation for Graph Collaborative Filtering
Ludovico Boratto
Francesco Fabbri
Gianni Fenu
Mirko Marras
Giacomo Medda
32
1
0
22 Aug 2024
RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation
Weibin Liao
Yifan Zhu
Yanyan Li
Qi Zhang
Zhonghong Ou
Xuesong Li
26
4
0
30 Jul 2024
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering
Ilya Shenbin
Sergey I. Nikolenko
20
0
0
31 May 2024
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
42
12
0
20 May 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering
Seoyoung Hong
Jeongwhan Choi
Yeon-Chang Lee
Srijan Kumar
Noseong Park
31
5
0
08 May 2024
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation
Jin-Duk Park
Yong-Min Shin
Won-Yong Shin
16
6
0
22 Apr 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
Yukui Hou
Jin-Duk Park
Won-Yong Shin
21
13
0
22 Apr 2024
How Does Message Passing Improve Collaborative Filtering?
Mingxuan Ju
William Shiao
Zhichun Guo
Yanfang Ye
Yozen Liu
Neil Shah
Tong Zhao
24
4
0
27 Mar 2024
OpenGraph: Towards Open Graph Foundation Models
Lianghao Xia
Ben Kao
Chao Huang
AI4CE
27
33
0
02 Mar 2024
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining
Fanjin Zhang
Shijie Shi
Yifan Zhu
Bo Chen
Yukuo Cen
...
Huihui Yuan
Jian Song
Xiaoyan Li
Yuxiao Dong
Jie Tang
29
15
0
24 Feb 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Jeongwhan Choi
Hyowon Wi
C. Lee
Sung-Bae Cho
Dongha Lee
Noseong Park
DiffM
31
2
0
27 Dec 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
Yuhao Yang
Lianghao Xia
Da Luo
Kangyi Lin
Chao Huang
AI4CE
17
15
0
28 Nov 2023
A Social-aware Gaussian Pre-trained Model for Effective Cold-start Recommendation
Siwei Liu
Xi Wang
Craig Macdonald
I. Ounis
18
8
0
27 Nov 2023
Graph Signal Diffusion Model for Collaborative Filtering
Yunqin Zhu
Chao Wang
Qi Zhang
Hui Xiong
DiffM
12
8
0
15 Nov 2023
How Expressive are Graph Neural Networks in Recommendation?
Xuheng Cai
Lianghao Xia
Xubin Ren
Chao Huang
24
6
0
22 Aug 2023
Graph-based Alignment and Uniformity for Recommendation
Liangwei Yang
Zhiwei Liu
Chen Wang
Mingdai Yang
Xiao-lin Liu
Jing Ma
Philip S. Yu
12
15
0
18 Aug 2023
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
V. W. Anelli
Daniele Malitesta
Claudio Pomo
Alejandro Bellogín
T. D. Noia
E. Sciascio
14
10
0
01 Aug 2023
Recommendation Unlearning via Matrix Correction
Jiahao Liu
Dongsheng Li
Hansu Gu
T. Lu
Jiongran Wu
Peng Zhang
Li Shang
Ning Gu
MU
11
4
0
29 Jul 2023
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
Jiayan Guo
Lun Du
Xu Chen
Xiaojun Ma
Qiang Fu
Shi Han
Dongmei Zhang
Yan Zhang
10
19
0
06 Jun 2023
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
Edoardo DÁmico
A. Lawlor
N. Hurley
16
0
0
28 May 2023
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation
Jaewan Moon
Hye-young Kim
Jongwuk Lee
26
4
0
22 May 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Yushun Dong
Jundong Li
Tobias Schnabel
23
9
0
02 May 2023
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
Jiahao Liu
Dongsheng Li
Hansu Gu
T. Lu
Peng Zhang
Li Shang
Ning Gu
11
9
0
23 Apr 2023
Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
17
39
0
17 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
24
62
0
16 Nov 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu
Dongsheng Li
Hansu Gu
T. Lu
Peng-Zhen Zhang
Ning Gu
11
12
0
15 Oct 2022
Personality-Driven Social Multimedia Content Recommendation
Qi Yang
Sergey I. Nikolenko
Alfred Huang
Aleksandr Farseev
34
14
0
25 Jul 2022
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation
Tianjun Wei
Jianghong Ma
Tommy W. S. Chow
20
3
0
13 Jul 2022
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