Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters

28 June 2020

Papers citing "Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters"

32 / 32 papers shown

Title
You Are What You Bought: Generating Customer Personas for E-commerce Applications Yimin Shi Yang Fei Shiqi Zhang Haixun Wang X. Xiao AI4TS 38 0 0 24 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 46 0 0 21 Mar 2025
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Yushun Dong Patrick Soga Yinhan He Song Wang Jundong Li 94 0 0 10 Dec 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation Weiqin Yang Jiawei Chen Xin Xin Sheng Zhou Binbin Hu Yan Feng C. L. P. Chen C. Wang 45 2 0 31 Oct 2024
A Sinkhorn Regularized Adversarial Network for Image Guided DEM Super-resolution using Frequency Selective Hybrid Graph Transformer Subhajit Paul Ashutosh Gupta 20 0 0 21 Sep 2024
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics Naichuan Zheng Hailun Xia Dapeng Liu 21 0 0 03 Aug 2024
Graph Signal Processing for Cross-Domain Recommendation Jeongeun Lee SeongKu Kang Won-Yong Shin Jeongwhan Choi Noseong Park Dongha Lee 26 0 0 17 Jul 2024
Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness Kejia Zhang Juanjuan Weng Junwei Wu Guoqing Yang Shaozi Li Zhiming Luo AAML 38 1 0 17 Jun 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin Chongming Gao Jiawei Chen Sheng Zhou Binbin Hu Yan Feng Chun-Yen Chen Can Wang 24 6 0 18 Apr 2024
Layer-diverse Negative Sampling for Graph Neural Networks Wei Duan Jie Lu Yu Guang Wang Junyu Xuan 29 4 0 18 Mar 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering Jiafeng Xia Dongsheng Li Hansu Gu T. Lu Peng Zhang Li Shang Ning Gu 16 1 0 13 Feb 2024
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
Provable Tensor Completion with Graph Information Kaidong Wang Yao Wang Xiuwu Liao Shaojie Tang Can Yang Deyu Meng 26 0 0 04 Oct 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 21 10 0 01 Aug 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 15 1 0 07 Jun 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 27 18 0 14 Apr 2023
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 19 30 0 09 Feb 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 25 7 0 10 Jan 2023
Parameter-free Dynamic Graph Embedding for Link Prediction Jiahao Liu Dongsheng Li Hansu Gu T. Lu Peng-Zhen Zhang Ning Gu 21 12 0 15 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 1 0 30 Sep 2022
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction Yinfeng Li Chen Gao Quanming Yao Tong Li Depeng Jin Yong Li HAI 24 7 0 14 Aug 2022
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification Jianpeng Liao Qian Tao Jun Yan GNN 20 3 0 27 Jan 2022
Stratified Graph Spectra Fanchao Meng M. Orr S. Swarup 13 0 0 10 Jan 2022
SimpleX: A Simple and Strong Baseline for Collaborative Filtering Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 11 157 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 28 99 0 17 Aug 2021
Causal Incremental Graph Convolution for Recommender System Retraining Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang CML CLL BDL GNN 29 35 0 16 Aug 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification S. Shi Kai Qiao Shuai Yang Linyuan Wang Jian Chen B. Yan AI4CE 11 28 0 25 May 2021
Graph Learning based Recommender Systems: A Review Shoujin Wang Liang Hu Yan Wang Xiangnan He Quan.Z Sheng M. Orgun LongBing Cao F. Ricci Philip S. Yu 24 198 0 13 May 2021
Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan Jianwei Zhang Jiangchao Yao Ninghao Liu Jingren Zhou Hongxia Yang Xia Hu 79 130 0 18 Feb 2021
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning Wenhui Yu Zheng Qin NoLa 10 49 0 28 Jun 2020
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation Wenhui Yu Xiao Lin Junfeng Ge Wenwu Ou Zheng Qin 6 37 0 28 Jun 2020
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems Yizi Zhang Meimei Liu 8 0 0 05 Jun 2020