ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.09324
  4. Cited By
Blurring-Sharpening Process Models for Collaborative Filtering

Blurring-Sharpening Process Models for Collaborative Filtering

17 November 2022
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
ArXivPDFHTML

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

13 / 13 papers shown
Title
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
32
0
0
01 May 2025
Why is Normalization Necessary for Linear Recommenders?
Why is Normalization Necessary for Linear Recommenders?
Seongmin Park
Mincheol Yoon
Hye-young Kim
Jongwuk Lee
33
0
0
08 Apr 2025
Diffusion Models in Recommendation Systems: A Survey
Diffusion Models in Recommendation Systems: A Survey
Ting-Ruen Wei
Yi Fang
77
2
0
20 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation
Jin-Duk Park
Jaemin Yoo
Won-Yong Shin
53
1
0
13 Feb 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective
Zhangchi Zhu
Wei Zhang
23
0
0
16 Nov 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the
  Potential of High-Order Connectivity
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
Yukui Hou
Jin-Duk Park
Won-Yong Shin
19
13
0
22 Apr 2024
How Does Message Passing Improve Collaborative Filtering?
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
QoS-Aware Graph Contrastive Learning for Web Service Recommendation
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
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation
Jeongwhan Choi
Hyowon Wi
C. Lee
Sung-Bae Cho
Dongha Lee
Noseong Park
DiffM
28
2
0
27 Dec 2023
Linear, or Non-Linear, That is the Question!
Linear, or Non-Linear, That is the Question!
Taeyong Kong
Taeri Kim
Jinsung Jeon
Jeongwhan Choi
Yeon-Chang Lee
Noseong Park
Sang-Wook Kim
30
57
0
14 Nov 2021
Graph Trend Filtering Networks for Recommendations
Graph Trend Filtering Networks for Recommendations
Wenqi Fan
Xiaorui Liu
Wei Jin
Xiangyu Zhao
Jiliang Tang
Qing Li
66
99
0
12 Aug 2021
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
87
554
0
04 Jan 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
226
1,935
0
09 Jun 2018
1