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CombiGCN: An effective GCN model for Recommender System

CombiGCN: An effective GCN model for Recommender System

27 March 2025
Loc Tan Nguyen
Tin T. Tran
ArXiv (abs)PDFHTML

Papers citing "CombiGCN: An effective GCN model for Recommender System"

7 / 7 papers shown
Title
Improvement Graph Convolution Collaborative Filtering with Weighted addition input
Improvement Graph Convolution Collaborative Filtering with Weighted addition input
Tin T. Tran
V. Snasel
GNN
157
3
0
27 Mar 2025
BeLightRec: A lightweight recommender system enhanced with BERT
BeLightRec: A lightweight recommender system enhanced with BERT
Manh Mai Van
Tin T. Tran
103
0
0
26 Mar 2025
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
198
3,693
0
06 Feb 2020
Neural Graph Collaborative Filtering
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
191
3,005
0
20 May 2019
Graph Convolutional Matrix Completion
Graph Convolutional Matrix Completion
Rianne van den Berg
Thomas Kipf
Max Welling
GNN
127
1,262
0
07 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
518
15,369
0
07 Jun 2017
BPR: Bayesian Personalized Ranking from Implicit Feedback
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
160
5,739
0
09 May 2012
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