GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation

15 May 2025

Papers citing "GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation"

26 / 26 papers shown

Title
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain Rui Xia Yanhua Cheng Yongxiang Tang Xiaocheng Liu Xialong Liu Lisong Wang Peng Jiang DiffM 78 1 0 03 Jan 2025
Fair Augmentation for Graph Collaborative Filtering Ludovico Boratto Francesco Fabbri Gianni Fenu Mirko Marras Giacomo Medda 73 2 0 22 Aug 2024
CALRec: Contrastive Alignment of Generative LLMs For Sequential Recommendation Yaoyiran Li Xiang Zhai M. Alzantot Keyi Yu Ivan Vulić Anna Korhonen Mohamed Hammad 50 12 0 03 May 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering Jiafeng Xia Dongsheng Li Hansu Gu Tun Lu Peng Zhang Li Shang Ning Gu 45 2 0 13 Feb 2024
Graph Signal Diffusion Model for Collaborative Filtering Yunqin Zhu Chao Wang Qi Zhang Hui Xiong DiffM 57 10 0 15 Nov 2023
Disentangled Contrastive Collaborative Filtering Xubin Ren Lianghao Xia Jiashu Zhao Dawei Yin Chao Huang 58 78 0 04 May 2023
Parameter-free Dynamic Graph Embedding for Link Prediction Jiahao Liu Dongsheng Li Hansu Gu Tun Lu Peng Zhang Ning Gu 46 15 0 15 Oct 2022
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering Hao Xu Patrick Poirson Kwot Sin Lee Chen Wang 37 16 0 29 Mar 2022
SimpleX: A Simple and Strong Baseline for Collaborative Filtering Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 55 161 0 26 Sep 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 58 102 0 17 Aug 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation Cheng-Mao Hsu Cheng-Te Li 40 72 0 29 Jan 2021
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 67 539 0 03 Jul 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 150 3,586 0 06 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 68 497 0 28 Jan 2020
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 119 696 0 28 Oct 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 75 1,096 0 07 Sep 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 81 427 0 23 May 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 128 2,946 0 20 May 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer Fei Sun Jun Liu Jian Wu Changhua Pei Xiao Lin Wenwu Ou Peng Jiang BDL HAI 148 2,129 0 14 Apr 2019
Self-Attentive Sequential Recommendation Wang-Cheng Kang Julian McAuley HAI BDL 120 2,390 0 20 Aug 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 222 3,513 0 06 Jun 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 69 378 0 03 Jun 2018
Session-based Recommendations with Recurrent Neural Networks Balázs Hidasi Alexandros Karatzoglou L. Baltrunas D. Tikk 62 2,055 0 21 Nov 2015
Localized Iterative Methods for Interpolation in Graph Structured Data S. K. Narang Akshay Gadde Eduard Sanou Antonio Ortega 42 121 0 09 Oct 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 117 3,962 0 31 Oct 2012
A Tutorial on Spectral Clustering U. V. Luxburg 231 10,497 0 01 Nov 2007