Blurring-Sharpening Process Models for Collaborative Filtering

17 November 2022

Jeongwhan Choi

Papers citing "Blurring-Sharpening Process Models for Collaborative Filtering"

44 / 44 papers shown

Title
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 132 2 0 20 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation Jin-Duk Park Jaemin Yoo Won-Yong Shin 101 1 0 13 Feb 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 74 0 0 16 Nov 2024
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering Seoyoung Hong Minju Jo Seung-Uk Kook Jaeeun Jung Hyowon Wi Noseong Park Sung-Bae Cho AI4TS 42 6 0 08 Nov 2022
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
IA-GCN: Interactive Graph Convolutional Network for Recommendation Yinan Zhang Pei Wang Congcong Liu Xiwei Zhao Hao Qi Jie He Junsheng Jin Changping Peng Zhangang Lin Jingping Shao GNN 37 6 0 08 Apr 2022
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering Jun Hu Bryan Hooi Shengsheng Qian Quan Fang Changsheng Xu 32 25 0 05 Apr 2022
Revisiting Neighborhood-based Link Prediction for Collaborative Filtering Hao Xu Patrick Poirson Kwot Sin Lee Chen Wang 27 16 0 29 Mar 2022
Linear, or Non-Linear, That is the Question! Taeyong Kong Taeri Kim Jinsung Jeon Jeongwhan Choi Yeon-Chang Lee Noseong Park Sang-Wook Kim 49 57 0 14 Nov 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 42 22 0 11 Nov 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 45 161 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 52 102 0 17 Aug 2021
Graph Trend Filtering Networks for Recommendations Wenqi Fan Xiaorui Liu Wei Jin Xiangyu Zhao Jiliang Tang Qing Li 92 102 0 12 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering Jeongwhan Choi Jinsung Jeon Noseong Park 47 31 0 08 Aug 2021
Bootstrapping User and Item Representations for One-Class Collaborative Filtering Dongha Lee SeongKu Kang Hyunjun Ju Chanyoung Park Hwanjo Yu 41 111 0 13 May 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 63 79 0 22 Feb 2021
Maximum Likelihood Training of Score-Based Diffusion Models Yang Song Conor Durkan Iain Murray Stefano Ermon DiffM 94 642 0 22 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 147 573 0 04 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 262 6,293 0 26 Nov 2020
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 111 1,138 0 21 Oct 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 62 539 0 03 Jul 2020
Improved Techniques for Training Score-Based Generative Models Yang Song Stefano Ermon DiffM 136 1,135 0 16 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 184 729 0 14 Jun 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 128 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 47 497 0 28 Jan 2020
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 57 307 0 31 Oct 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 69 1,323 0 25 Jul 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 109 2,946 0 20 May 2019
Embarrassingly Shallow Autoencoders for Sparse Data Harald Steck 96 249 0 08 May 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 155 3,149 0 19 Feb 2019
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 190 1,674 0 14 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 463 1,965 0 09 Jun 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 189 3,513 0 06 Jun 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 126 1,222 0 16 Feb 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 63 623 0 22 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 304 19,991 0 30 Oct 2017
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Yi Tay Anh Tuan Luu S. Hui 97 303 0 17 Jul 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 89 1,253 0 07 Jun 2017
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Jun Wang Lantao Yu Weinan Zhang Yu Gong Yinghui Xu Benyou Wang Peng Zhang Dell Zhang 62 599 0 30 May 2017
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 152 10,825 0 03 Jul 2016
Item2Vec: Neural Item Embedding for Collaborative Filtering Oren Barkan Noam Koenigstein DML 96 503 0 14 Mar 2016
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 107 5,323 0 12 Mar 2015
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 219 9,735 0 26 Mar 2014
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 95 5,696 0 09 May 2012