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

International Joint Conference on Artificial Intelligence (IJCAI), 2019

27 May 2019

Jiani Zhang

Xingjian Shi

Shenglin Zhao

Irwin King

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

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Title
Federated Recommender System with Data Valuation for E-commerce PlatformExpert systems with applications (ESWA), 2025 Jongwon Park Minku Kang Wooseok Sim Soyoung Lee Hogun Park FedML 152 1 0 14 Sep 2025
Hybrid Matrix Factorization Based Graph Contrastive Learning for Recommendation System Hao Chen Wenming Ma Zihao Chu Mingqi Li 82 0 0 05 Sep 2025
Representation Quantization for Collaborative Filtering Augmentation Yunze Luo Yinjie Jiang Gaode Chen Jingchi Wang S. Wang ... Jun Zhang Jian Liang Han Li Kun Gai Kaigui Bian 83 0 0 15 Aug 2025
Privacy Preserving Inference of Personalized Content for Out of Matrix Users Michael Sun Tai Vu Andrew Wang 100 1 0 12 Aug 2025
Towards Comprehensible Recommendation with Large Language Model Fine-tuning Yunze Luo Yinjie Jiang Gaode Chen Xinghua Zhang Jun Zhang Jian Liang Kaigui Bian LRM 106 0 0 11 Aug 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 254 1 0 28 Jan 2025
Extending Graph Condensation to Multi-Label Datasets: A Benchmark Study Liangliang Zhang Haoran Bao Yao Ma AI4CE DD 325 1 0 23 Dec 2024
Multi-Channel Hypergraph Contrastive Learning for Matrix Completion Xiang Li Changsheng Shui Yanwei Yu Chao Huang Zhongying Zhao 257 0 0 02 Nov 2024
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation Junfeng Long Hao Wu 120 0 0 09 Aug 2024
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning Qiuyu Zhu Liang Zhang Qianxiong Xu Kaijun Liu Cheng Long Xiaoyang Wang 190 5 0 18 Jul 2024
XRec: Large Language Models for Explainable Recommendation Qiyao Ma Xubin Ren Chao Huang LRM 219 54 0 04 Jun 2024
Graph Augmentation for Recommendation Qianru Zhang Lianghao Xia Xuheng Cai Siu-keung Yiu Chao Huang Christian S. Jensen 234 17 0 25 Mar 2024
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks Jaehyun Lee Seonku Kang Hwanjo Yu 125 3 0 07 Mar 2024
Towards Causal Classification: A Comprehensive Study on Graph Neural Networks Simi Job Xiaohui Tao Taotao Cai Lin Li Haoran Xie Jianming Yong CML 194 5 0 27 Jan 2024
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems Hongjian Gu Yaochen Hu Yingxue Zhang CML BDL 130 0 0 30 Nov 2023
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness Zeyuan Zhao Qingqing Ge Anfeng Cheng Yiding Liu Xiang Li Shuaiqiang Wang 165 0 0 06 Nov 2023
Embedding in Recommender Systems: A Survey Maolin Wang Xinjian Zhao Xinjian Zhao Jiansheng Li Shucheng Zhou ... Shucheng Zhou D. Yin Qing Li Ruocheng Guo Xiangyu Zhao AI4TS 282 29 0 28 Oct 2023
How Expressive are Graph Neural Networks in Recommendation?International Conference on Information and Knowledge Management (CIKM), 2023 Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 307 7 0 22 Aug 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework Guowei Wu Weike Pan Zhong Ming FedML 135 4 0 25 Jul 2023
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 Luke Huan GNN AI4CE 193 32 0 24 Jun 2023
Hyperbolic Representation Learning: Revisiting and AdvancingInternational Conference on Machine Learning (ICML), 2023 Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 191 34 0 15 Jun 2023
Instant Representation Learning for Recommendation over Large Dynamic GraphsIEEE International Conference on Data Engineering (ICDE), 2023 Cheng Wu Chao-Hong Wang Jingcao Xu Ziwei Fang Tiankai Gu Changping Wang Yang Song Kai Zheng Xiaowei Wang Guorui Zhou AI4TS 167 15 0 22 May 2023
Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation H. Dao Dung D. Le C. Chu 178 3 0 11 Apr 2023
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender SystemsACM Transactions on Recommender Systems (ACM TORS), 2023 Antonio Purificato Giulia Cassara F. Siciliano Pietro Lio Fabrizio Silvestri 173 9 0 07 Apr 2023
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link PredictionThe Web Conference (WWW), 2023 Shichang Zhang Jiani Zhang Xiang Song Soji Adeshina Da Zheng Christos Faloutsos Luke Huan LRM 341 48 0 24 Feb 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for RecommendationInternational Conference on Learning Representations (ICLR), 2023 Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 279 339 0 16 Feb 2023
Knowledge Enhancement for Contrastive Multi-Behavior RecommendationWeb Search and Data Mining (WSDM), 2023 Hongrui Xuan Yi Liu Bohan Li Hongzhi Yin 198 98 0 13 Jan 2023
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022 Chao Li Hao Xu Kun He 75 13 0 27 Nov 2022
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural NetworksNeural Networks (NN), 2022 Xinyu Fu Irwin King 242 33 0 23 Nov 2022
One-class Recommendation Systems with the Hinge Pairwise Distance Loss and Orthogonal RepresentationsACM Conference on Recommender Systems (RecSys), 2022 Ramin Raziperchikolaei Young-joo Chung 113 0 0 31 Aug 2022
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 144 32 0 03 Aug 2022
Self-Supervised Hypergraph Transformer for Recommender SystemsKnowledge Discovery and Data Mining (KDD), 2022 Lianghao Xia Chao Huang Chuxu Zhang 171 155 0 28 Jul 2022
Hypergraph Contrastive Collaborative FilteringAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022 Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao D. Yin J. Huang 236 399 0 26 Apr 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric RegularizationThe Web Conference (WWW), 2022 Menglin Yang Min Zhou Jiahong Liu Defu Lian Irwin King 156 100 0 18 Apr 2022
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of InterestIEEE International Conference on Data Engineering (ICDE), 2022 Yuezihan Jiang Yu Cheng Hanyu Zhao Wentao Zhang Xupeng Miao Yu He Liang Wang Zhi-Xin Yang Tengjiao Wang GNN 136 10 0 20 Mar 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGAIEEE International Parallel and Distributed Processing Symposium (IPDPS), 2022 Hongkuan Zhou Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 149 25 0 10 Mar 2022
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems Lianghao Xia Chao Huang Yong-mei Xu Huance Xu Xiang Li Weiguo Zhang HAI 136 12 0 10 Jan 2022
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zinan Lin Karthik Subbian 274 78 0 08 Nov 2021
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural NetworksIndustrial Conference on Data Mining (IDM), 2020 Huance Xu Chao Huang Yong-mei Xu Lianghao Xia Hao Xing D. Yin 111 36 0 08 Oct 2021
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer NetworkAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Bo Zhang Liefeng Bo MLAU 193 155 0 08 Oct 2021
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior RecommendationAAAI Conference on Artificial Intelligence (AAAI), 2021 Lianghao Xia Chao Huang Yong-mei Xu Peng Dai Xiyue Zhang Hongsheng Yang Jian Pei Liefeng Bo 342 235 0 08 Oct 2021
Graph Meta Network for Multi-Behavior RecommendationAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021 Lianghao Xia Yong-mei Xu Chao Huang Peng Dai Liefeng Bo AI4CE 211 227 0 08 Oct 2021
Grouping Search Results with Product Graphs in E-commerce Platforms Suhas Ranganath Shibsankar Das Sanjay Thilaivasan Shipra Agarwal Varun Shrivastava 60 0 0 20 Sep 2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation Yankai Chen Yaming Yang Yujing Wang Jing Bai Xiangchen Song Irwin King 167 81 0 05 Sep 2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Benjamin Chapus Viet-Anh Tran Michalis Vazirgiannis 161 21 0 02 Aug 2021
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming AppsKnowledge Discovery and Data Mining (KDD), 2021 Léa Briand Guillaume Salha-Galvan Walid Bendada M. Morlon Viet-Anh Tran 127 42 0 07 Jun 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product RecommendationKnowledge Discovery and Data Mining (KDD), 2021 Sanshi Lei Yu Zhuoxuan Jiang Dongdong Chen Shanshan Feng Dongsheng Li Qi Liu Jinfeng Yi 152 31 0 07 Jun 2021
Graph Learning based Recommender Systems: A ReviewInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Shoujin Wang Liang Hu Yan Wang Xiangnan He Quan.Z Sheng M. Orgun LongBing Cao F. Ricci Philip S. Yu 189 228 0 13 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel PruningProceedings of the VLDB Endowment (PVLDB), 2021 Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng Rajgopal Kannan Viktor Prasanna GNN 129 74 0 10 May 2021
Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs Saurav Manchanda Da Zheng George Karypis GNN 85 6 0 03 May 2021