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STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for
  Recommender Systems

STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems

27 May 2019
Jiani Zhang
Xingjian Shi
Shenglin Zhao
Irwin King
ArXivPDFHTML

Papers citing "STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems"

50 / 55 papers shown
Title
Hypergraph Diffusion for High-Order Recommender Systems
Hypergraph Diffusion for High-Order Recommender Systems
Darnbi Sakong
T. T. Huynh
Jun Jo
DiffM
74
0
0
28 Jan 2025
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning
  for Recommendation
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation
Junfeng Long
Hao Wu
35
0
0
09 Aug 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous
  Graph Representation Learning
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
Qiuyu Zhu
Liang Zhang
Qianxiong Xu
Kaijun Liu
Cheng Long
Xiaoyang Wang
35
0
0
18 Jul 2024
XRec: Large Language Models for Explainable Recommendation
XRec: Large Language Models for Explainable Recommendation
Qiyao Ma
Xubin Ren
Chao Huang
LRM
29
17
0
04 Jun 2024
Graph Augmentation for Recommendation
Graph Augmentation for Recommendation
Qianru Zhang
Lianghao Xia
Xuheng Cai
Siu-keung Yiu
Chao Huang
Christian S. Jensen
29
5
0
25 Mar 2024
Improving Matrix Completion by Exploiting Rating Ordinality in Graph
  Neural Networks
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks
Jaehyun Lee
Seonku Kang
Hwanjo Yu
20
2
0
07 Mar 2024
Towards Causal Classification: A Comprehensive Study on Graph Neural
  Networks
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks
Simi Job
Xiaohui Tao
Taotao Cai
Lin Li
Haoran Xie
Jianming Yong
CML
30
1
0
27 Jan 2024
Preference and Concurrence Aware Bayesian Graph Neural Networks for
  Recommender Systems
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
Hongjian Gu
Yaochen Hu
Yingxue Zhang
CML
BDL
21
0
0
30 Nov 2023
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level
  Awareness
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness
Zeyuan Zhao
Qingqing Ge
Anfeng Cheng
Yiding Liu
Xiang Li
Shuaiqiang Wang
11
0
0
06 Nov 2023
Embedding in Recommender Systems: A Survey
Embedding in Recommender Systems: A Survey
Xiangyu Zhao
Maolin Wang
Xinjian Zhao
Jiansheng Li
Shucheng Zhou
Dawei Yin
Qing Li
Jiliang Tang
Ruocheng Guo
AI4TS
36
10
0
28 Oct 2023
How Expressive are Graph Neural Networks in Recommendation?
How Expressive are Graph Neural Networks in Recommendation?
Xuheng Cai
Lianghao Xia
Xubin Ren
Chao Huang
29
6
0
22 Aug 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Guowei Wu
Weike Pan
Zhong Ming
FedML
31
2
0
25 Jul 2023
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and
  Customized Hardware
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Shichang Zhang
Atefeh Sohrabizadeh
Cheng Wan
Zijie Huang
Ziniu Hu
Yewen Wang
Yingyan Lin
Lin
Jason Cong
Yizhou Sun
GNN
AI4CE
29
22
0
24 Jun 2023
Hyperbolic Representation Learning: Revisiting and Advancing
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang
Min Zhou
Rex Ying
Yankai Chen
Irwin King
35
19
0
15 Jun 2023
Instant Representation Learning for Recommendation over Large Dynamic
  Graphs
Instant Representation Learning for Recommendation over Large Dynamic Graphs
Cheng Wu
Chao-Hong Wang
Jingcao Xu
Ziwei Fang
Tiankai Gu
Changping Wang
Yang Song
Kai Zheng
Xiaowei Wang
Guorui Zhou
AI4TS
26
6
0
22 May 2023
Improving Items and Contexts Understanding with Descriptive Graph for
  Conversational Recommendation
Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation
H. Dao
Dung D. Le
C. Chu
17
2
0
11 Apr 2023
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
Antonio Purificato
Giulia Cassara
F. Siciliano
Pietro Lio'
Fabrizio Silvestri
12
4
0
07 Apr 2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous
  Link Prediction
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
Shichang Zhang
Jiani Zhang
Xiang Song
Soji Adeshina
Da Zheng
Christos Faloutsos
Yizhou Sun
LRM
30
31
0
24 Feb 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
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
Hongrui Xuan
Yi Liu
Bohan Li
Hongzhi Yin
24
66
0
13 Jan 2023
Differentiable Meta Multigraph Search with Partial Message Propagation
  on Heterogeneous Information Networks
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
Chao Li
Hao Xu
Kun He
25
10
0
27 Nov 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural
  Networks
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks
Xinyu Fu
Irwin King
27
15
0
23 Nov 2022
One-class Recommendation Systems with the Hinge Pairwise Distance Loss
  and Orthogonal Representations
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal Representations
Ramin Raziperchikolaei
Young-joo Chung
19
0
0
31 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
23
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
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric
  Regularization
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization
Menglin Yang
Min Zhou
Jiahong Liu
Defu Lian
Irwin King
13
86
0
18 Apr 2022
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest
Yuezihan Jiang
Yu Cheng
Hanyu Zhao
Wentao Zhang
Xupeng Miao
Yu He
Liang Wang
Zhi-Xin Yang
Bin Cui
GNN
12
10
0
20 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference
  on FPGA
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA
Hongkuan Zhou
Bingyi Zhang
R. Kannan
Viktor Prasanna
Carl E. Busart
GNN
24
23
0
10 Mar 2022
Collaborative Reflection-Augmented Autoencoder Network for Recommender
  Systems
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems
Lianghao Xia
Chao Huang
Yong-mei Xu
Huance Xu
Xiang Li
Weiguo Zhang
HAI
19
10
0
10 Jan 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or
  Missing Neighborhoods
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods
Wenqing Zheng
Edward W. Huang
Nikhil S. Rao
S. Katariya
Zhangyang Wang
Karthik Subbian
24
61
0
08 Nov 2021
Global Context Enhanced Social Recommendation with Hierarchical Graph
  Neural Networks
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
Huance Xu
Chao Huang
Yong-mei Xu
Lianghao Xia
Hao Xing
Dawei Yin
16
33
0
08 Oct 2021
Multiplex Behavioral Relation Learning for Recommendation via Memory
  Augmented Transformer Network
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Bo Zhang
Liefeng Bo
MLAU
89
122
0
08 Oct 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for
  Multi-Behavior Recommendation
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Lianghao Xia
Chao Huang
Yong-mei Xu
Peng Dai
Xiyue Zhang
Hongsheng Yang
J. Pei
Liefeng Bo
119
192
0
08 Oct 2021
Graph Meta Network for Multi-Behavior Recommendation
Graph Meta Network for Multi-Behavior Recommendation
Lianghao Xia
Yong-mei Xu
Chao Huang
Peng Dai
Liefeng Bo
AI4CE
62
186
0
08 Oct 2021
Grouping Search Results with Product Graphs in E-commerce Platforms
Grouping Search Results with Product Graphs in E-commerce Platforms
Suhas Ranganath
Shibsankar Das
Sanjay Thilaivasan
Shipra Agarwal
Varun Shrivastava
13
0
0
20 Sep 2021
Attentive Knowledge-aware Graph Convolutional Networks with
  Collaborative Guidance for Personalized Recommendation
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation
Yankai Chen
Yaming Yang
Yujing Wang
Jing Bai
Xiangchen Song
Irwin King
28
56
0
05 Sep 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph
  Autoencoders
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
Guillaume Salha-Galvan
Romain Hennequin
Benjamin Chapus
Viet-Anh Tran
Michalis Vazirgiannis
19
20
0
02 Aug 2021
A Semi-Personalized System for User Cold Start Recommendation on Music
  Streaming Apps
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps
Léa Briand
Guillaume Salha-Galvan
Walid Bendada
M. Morlon
Viet-Anh Tran
18
33
0
07 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 Learning based Recommender Systems: A Review
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
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning
Hongkuan Zhou
Ajitesh Srivastava
Hanqing Zeng
R. Kannan
Viktor Prasanna
GNN
19
64
0
10 May 2021
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs
Saurav Manchanda
Da Zheng
George Karypis
GNN
19
5
0
03 May 2021
Personalized Bundle Recommendation in Online Games
Personalized Bundle Recommendation in Online Games
Qilin Deng
Kai Wang
M. Zhao
Zhene Zou
Runze Wu
Jianrong Tao
Changjie Fan
Liang Chen
16
65
0
12 Apr 2021
Semi-supervised Hyperspectral Image Classification with Graph Clustering
  Convolutional Networks
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks
Hao Zeng
Qingjie Liu
Mingming Zhang
Xiaoqing Han
Yunhong Wang
GNN
17
16
0
20 Dec 2020
AutoGraph: Automated Graph Neural Network
AutoGraph: Automated Graph Neural Network
Yaoman Li
Irwin King
GNN
24
43
0
23 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
Modurec: Recommender Systems with Feature and Time Modulation
Modurec: Recommender Systems with Feature and Time Modulation
Javier Maroto
Clément Vignac
P. Frossard
10
1
0
13 Oct 2020
Inductive Graph Neural Networks for Spatiotemporal Kriging
Inductive Graph Neural Networks for Spatiotemporal Kriging
Yuankai Wu
Dingyi Zhuang
A. Labbe
Lijun Sun
AI4CE
17
143
0
13 Jun 2020
Deep Learning on Knowledge Graph for Recommender System: A Survey
Deep Learning on Knowledge Graph for Recommender System: A Survey
Y. Gao
Yifan Li
Yu Lin
Hang Gao
Latifur Khan
20
48
0
25 Mar 2020
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