Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

28 January 2020

Meng Wang

Papers citing "Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach"

50 / 106 papers shown

Title
Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation Zahra Akhlaghi Mostafa Haghir Chehreghani AI4TS 29 0 0 18 Apr 2025
Leveraging Auto-Distillation and Generative Self-Supervised Learning in Residual Graph Transformers for Enhanced Recommender Systems Eya Mhedhbi Youssef Mourchid Alice Othmani 26 0 0 08 Apr 2025
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias Miaomiao Cai Lei Chen Yifan Wang Zhiyong Cheng M. Zhang Meng Wang 41 0 0 30 Mar 2025
CoPL: Collaborative Preference Learning for Personalizing LLMs Youngbin Choi Seunghyuk Cho M. Lee Moonjeong Park Yesong Ko Jungseul Ok Dongwoo Kim 63 0 0 03 Mar 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 66 22 0 24 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 102 3 0 20 Feb 2025
Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation Chenhao Zhai Chang Meng Yu Yang Kexin Zhang Xuhao Zhao Xiu Li 79 0 0 04 Feb 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 74 0 0 28 Jan 2025
A Survey on Deep Neural Networks in Collaborative Filtering Recommendation Systems Pang Li Shahrul Azman Mohd Noah Hafiz Mohd Sarim 76 1 0 02 Dec 2024
Enhancing ID-based Recommendation with Large Language Models Lei Chen Chen Gao Xiaoyi Du Hengliang Luo Depeng Jin Y. Li M. Wang 35 1 0 04 Nov 2024
FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning Wei Chen Meng Yuan Zhao Zhang Ruobing Xie Fuzhen Zhuang Deqing Wang Rui Liu 16 0 0 23 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 44 2 0 30 Sep 2024
Modeling Reference-dependent Choices with Graph Neural Networks Liang Zhang Guannan Liu Junjie Wu Yong Tan HAI 24 0 0 21 Aug 2024
Towards Few-shot Self-explaining Graph Neural Networks Jingyu Peng Qi Liu Linan Yue Zaixi Zhang Kai Zhang Yunhao Sha MILM 19 2 0 14 Aug 2024
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation Junfeng Long Hao Wu 35 0 0 09 Aug 2024
Symmetric Graph Contrastive Learning against Noisy Views for Recommendation Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao Guibing Guo Xingwei Wang 27 1 0 03 Aug 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 32 0 0 16 Jul 2024
ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation Yannis Karmim Elias Ramzi Raphael Fournier SÑiehotta Nicolas Thome 22 0 0 03 Jul 2024
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning Xiao Han Chen Zhu Xiao Hu Chuan Qin Xiangyu Zhao Hengshu Zhu 26 2 0 24 Jun 2024
BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation Qile Fan Penghang Yu Zhiyi Tan Bing-Kun Bao Guanming Lu 37 1 0 01 Jun 2024
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation Yuxi Liu Lianghao Xia Chao Huang 36 14 0 31 May 2024
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 26 10 0 31 May 2024
A Survey of Latent Factor Models in Recommender Systems Hind I. Alshbanat Hafida Benhidour Said Kerrache LRM BDL 43 1 0 28 May 2024
SVD-AE: Simple Autoencoders for Collaborative Filtering Seoyoung Hong Jeongwhan Choi Yeon-Chang Lee Srijan Kumar Noseong Park 36 5 0 08 May 2024
Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation Jin-Duk Park Yong-Min Shin Won-Yong Shin 35 6 0 22 Apr 2024
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis Haodong Wen Bodong Du Ruixun Liu Deyu Meng Xiangyong Cao 47 0 0 16 Apr 2024
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 31 10 0 12 Apr 2024
Graph Augmentation for Recommendation Qianru Zhang Lianghao Xia Xuheng Cai Siu-keung Yiu Chao Huang Christian S. Jensen 29 5 0 25 Mar 2024
Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering Peijie Sun Le Wu Kun Zhang Xiangzhi Chen Mengdi Wang 26 20 0 18 Feb 2024
RecDCL: Dual Contrastive Learning for Recommendation Dan Zhang Yangliao Geng Wenwen Gong Zhongang Qi Zhiyu Chen Xing Tang Ying Shan Yuxiao Dong Jie Tang 35 24 0 28 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 44 4 0 26 Jan 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation Jeongwhan Choi Duksan Ryu 23 2 0 06 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
User Consented Federated Recommender System Against Personalized Attribute Inference Attack Qi Hu Yangqiu Song FedML 43 9 0 23 Dec 2023
BSL: Understanding and Improving Softmax Loss for Recommendation Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Jizhi Zhang Xiang Wang 14 5 0 20 Dec 2023
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation Yungi Kim Taeri Kim Won-Yong Shin Sang-Wook Kim 20 10 0 15 Dec 2023
Adaptive spectral graph wavelets for collaborative filtering Osama Alshareet A. B. Hamza AI4TS 14 2 0 05 Dec 2023
GraphPro: Graph Pre-training and Prompt Learning for Recommendation Yuhao Yang Lianghao Xia Da Luo Kangyi Lin Chao Huang AI4CE 40 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 28 8 0 27 Nov 2023
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 21 4 0 21 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 17 0 0 10 Nov 2023
DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification Yuejun Jiao Song Qiu Mingsong Chen Dingding Han Qingli Li Yue Lu 8 2 0 25 Oct 2023
Representation Learning with Large Language Models for Recommendation Xubin Ren Wei Wei Lianghao Xia Lixin Su Suqi Cheng Junfeng Wang Dawei Yin Chao Huang 34 154 0 24 Oct 2023
Topology-aware Debiased Self-supervised Graph Learning for Recommendation Leiqian Han Hui Yan Zhicheng Qiao 13 1 0 24 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 30 9 0 22 Oct 2023
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings Shashidhar Reddy Javaji Krutika Sarode 29 6 0 07 Oct 2023
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation Meng Yuan Fuzhen Zhuang Zhao Zhang Deqing Wang Jin Dong 34 3 0 29 Aug 2023
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems Peiyan Zhang Yuchen Yan Xi Zhang Chaozhuo Li Senzhang Wang Feiran Huang Sunghun Kim 33 15 0 28 Aug 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 29 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 20 15 0 18 Aug 2023