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Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach

28 January 2020
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
    GNN
ArXivPDFHTML

Papers citing "Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach"

50 / 106 papers shown
Title
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and
  Reproducibility-driven Analysis
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
Criteria Tell You More than Ratings: Criteria Preference-Aware Light
  Graph Convolution for Effective Multi-Criteria Recommendation
Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
Jin-Duk Park
Siqing Li
Xin Cao
Won-Yong Shin
17
7
0
30 May 2023
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for
  Top-N Recommendation
Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
Edoardo DÁmico
A. Lawlor
N. Hurley
26
0
0
28 May 2023
Breaking the Curse of Quality Saturation with User-Centric Ranking
Breaking the Curse of Quality Saturation with User-Centric Ranking
Zhuokai Zhao
Yang Yang
Wenyu Wang
Chi-Yu Liu
Yunluo Shi
Wenjie Hu
Haotian Zhang
Shuangjun Yang
28
3
0
24 May 2023
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for
  Recommendation
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation
Jaewan Moon
Hye-young Kim
Jongwuk Lee
31
4
0
22 May 2023
Graph Masked Autoencoder for Sequential Recommendation
Graph Masked Autoencoder for Sequential Recommendation
Yaowen Ye
Lianghao Xia
Chao Huang
25
38
0
08 May 2023
Disentangled Contrastive Collaborative Filtering
Disentangled Contrastive Collaborative Filtering
Xubin Ren
Lianghao Xia
Jiashu Zhao
Dawei Yin
Chao Huang
29
75
0
04 May 2023
HEAT: A Highly Efficient and Affordable Training System for
  Collaborative Filtering Based Recommendation on CPUs
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs
Chengming Zhang
Shaden Smith
Baixi Sun
Jiannan Tian
Jon Soifer
Xiaodong Yu
S. Song
Yuxiong He
Dingwen Tao
36
0
0
14 Apr 2023
Item Graph Convolution Collaborative Filtering for Inductive
  Recommendations
Item Graph Convolution Collaborative Filtering for Inductive Recommendations
Edoardo DÁmico
Khalil Muhammad
E. Tragos
Barry Smyth
N. Hurley
A. Lawlor
GNN
16
6
0
28 Mar 2023
Compressed Interaction Graph based Framework for Multi-behavior
  Recommendation
Compressed Interaction Graph based Framework for Multi-behavior Recommendation
Wei Guo
Chang Meng
Enming Yuan
Zhicheng He
Huifeng Guo
...
Bo Chen
Yaochen Hu
Ruiming Tang
Xiufeng Li
Rui Zhang
28
20
0
04 Mar 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for
  Recommendation
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Xuheng Cai
Chao Huang
Lianghao Xia
Xubin Ren
13
198
0
16 Feb 2023
Improving Recommendation Fairness via Data Augmentation
Improving Recommendation Fairness via Data Augmentation
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Defu Lian
Zhiqiang Zhang
Jun Zhou
Meng Wang
FedML
17
43
0
13 Feb 2023
A Node-collaboration-informed Graph Convolutional Network for Precise
  Representation to Undirected Weighted Graphs
A Node-collaboration-informed Graph Convolutional Network for Precise Representation to Undirected Weighted Graphs
Ying Wang
Ye Yuan
Xin Luo
GNN
17
1
0
30 Nov 2022
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure
  Awareness
ARISE: Graph Anomaly Detection on Attributed Networks via Substructure Awareness
Jingcan Duan
Bin Xiao
Siwei Wang
Haifang Zhou
Xinwang Liu
AI4TS
20
10
0
28 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering
Blurring-Sharpening Process Models for Collaborative Filtering
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
17
39
0
17 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs
Graph Filters for Signal Processing and Machine Learning on Graphs
Elvin Isufi
Fernando Gama
D. Shuman
Santiago Segarra
GNN
30
62
0
16 Nov 2022
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative
  Filtering
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
19
6
0
08 Nov 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent
  Embeddings
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings
Junyi Li
Heng-Chiao Huang
FedML
21
6
0
25 Oct 2022
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
DIGAT: Modeling News Recommendation with Dual-Graph Interaction
Zhiming Mao
Jun Yu Li
Hongru Wang
Xingshan Zeng
Kam-Fai Wong
GNN
13
15
0
11 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
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
GREASE: Generate Factual and Counterfactual Explanations for GNN-based
  Recommendations
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations
Ziheng Chen
Fabrizio Silvestri
Jia Wang
Yongfeng Zhang
Zhenhua Huang
H. Ahn
Gabriele Tolomei
CML
15
27
0
04 Aug 2022
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for
  Multi-Behavior Recommendation
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
Chang Meng
Ziqi Zhao
Wei Guo
Yingxue Zhang
Haolun Wu
Chen Gao
Dong Li
Xiu Li
Ruiming Tang
26
22
0
03 Aug 2022
Self-Supervised Hypergraph Transformer for Recommender Systems
Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia
Chao Huang
Chuxu Zhang
22
109
0
28 Jul 2022
Hypergraph Contrastive Collaborative Filtering
Hypergraph Contrastive Collaborative Filtering
Lianghao Xia
Chao Huang
Yong-mei Xu
Jiashu Zhao
Dawei Yin
J. Huang
28
303
0
26 Apr 2022
IA-GCN: Interactive Graph Convolutional Network for Recommendation
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
22
6
0
08 Apr 2022
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human
  Activity Recognition
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition
Yan Yan
T. Liao
Jinjin Zhao
Jiahong Wang
Liang Ma
Wei Lv
Jing Xiong
Lei Wang
11
20
0
14 Mar 2022
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
35
57
0
14 Nov 2021
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Knowledge-aware Coupled Graph Neural Network for Social Recommendation
Chao Huang
Huance Xu
Yong-mei Xu
Peng Dai
Lianghao Xia
Mengyin Lu
Liefeng Bo
Hao Xing
Xiaoping Lai
Yanfang Ye
19
169
0
08 Oct 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
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
Orthogonal Graph Neural Networks
Orthogonal Graph Neural Networks
Kai Guo
Kaixiong Zhou
Xia Hu
Yu Li
Yi Chang
Xin Wang
41
34
0
23 Sep 2021
Multi-Sample based Contrastive Loss for Top-k Recommendation
Multi-Sample based Contrastive Loss for Top-k Recommendation
H. Tang
Guoshuai Zhao
Yuxia Wu
Xueming Qian
23
32
0
01 Sep 2021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Kaixiong Zhou
Ninghao Liu
Fan Yang
Zirui Liu
Rui Chen
Li Li
Soo-Hyun Choi
Xia Hu
AI4CE
23
18
0
30 Aug 2021
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
SiReN: Sign-Aware Recommendation Using Graph Neural Networks
Changwon Seo
Kyeong-Joong Jeong
Sungsu Lim
Won-Yong Shin
23
18
0
19 Aug 2021
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop
  Advertising
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising
Jinsung Jeon
Soyoung Kang
Minju Jo
Seunghyeon Cho
Noseong Park
Seonghoon Kim
Chiyoung Song
28
16
0
11 Aug 2021
LT-OCF: Learnable-Time ODE-based Collaborative Filtering
LT-OCF: Learnable-Time ODE-based Collaborative Filtering
Jeongwhan Choi
Jinsung Jeon
Noseong Park
24
30
0
08 Aug 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
38
18
0
21 Jul 2021
Position-enhanced and Time-aware Graph Convolutional Network for
  Sequential Recommendations
Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Liwei Huang
Yutao Ma
Yanbo Liu
Bohong
Du
Shuliang Wang
Deyi Li
GNN
21
53
0
12 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering
Xin Zhou
Aixin Sun
Yong-jin Liu
Jie M. Zhang
C. Miao
SSL
25
76
0
07 Jul 2021
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou
Xiao Shi Huang
Daochen Zha
Rui Chen
Li Li
Soo-Hyun Choi
Xia Hu
GNN
AI4CE
22
114
0
06 Jul 2021
A Behavior-aware Graph Convolution Network Model for Video
  Recommendation
A Behavior-aware Graph Convolution Network Model for Video Recommendation
Wei Zhuo
Kunchi Liu
Taofeng Xue
Beihong Jin
Beibei Li
Xinzhou Dong
He Chen
Wenhai Pan
Xuejian Zhang
Shuo Zhou
GNN
14
2
0
27 Jun 2021
Leveraging Tripartite Interaction Information from Live Stream
  E-Commerce for Improving Product Recommendation
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Lei Yu
Zhuoxuan Jiang
Dongdong Chen
Shanshan Feng
Dongsheng Li
Qi Liu
Jinfeng Yi
27
20
0
07 Jun 2021
Graph-based Exercise- and Knowledge-Aware Learning Network for Student
  Performance Prediction
Graph-based Exercise- and Knowledge-Aware Learning Network for Student Performance Prediction
Mengfan Liu
Pengyang Shao
Kun Zhang
AI4Ed
14
6
0
01 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation
Privileged Graph Distillation for Cold Start Recommendation
Shuai Wang
Kun Zhang
Le Wu
Haiping Ma
Richang Hong
Meng Wang
10
28
0
31 May 2021
Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node
  Classification
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
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback
  based Recommendation
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Lei Chen
Le Wu
Kun Zhang
Richang Hong
Meng Wang
BDL
CML
13
16
0
16 May 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative
  Filtering to Information-rich Recommendation
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu
Xiangnan He
Xiang Wang
Kun Zhang
Meng Wang
HAI
21
283
0
27 Apr 2021
Dual-embedding based Neural Collaborative Filtering for Recommender
  Systems
Dual-embedding based Neural Collaborative Filtering for Recommender Systems
Gongshan He
Dongxing Zhao
Li Ding
FedML
12
3
0
04 Feb 2021
Stacked Graph Filter
Stacked Graph Filter
Hoang NT
Takanori Maehara
T. Murata
GNN
16
4
0
22 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Bin Cui
GNN
56
1,174
0
04 Nov 2020
A Light Heterogeneous Graph Collaborative Filtering Model using Textual
  Information
A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information
Chaoyang Wang
Zhiqiang Guo
Guohui Li
Jianjun Li
Peng Pan
Ke Liu
11
9
0
04 Oct 2020
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