LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

6 February 2020

Meng Wang

Papers citing "LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation"

50 / 261 papers shown

Title
Hypergraph Contrastive Collaborative Filtering Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao Dawei Yin J. Huang 28 304 0 26 Apr 2022
Cross Pairwise Ranking for Unbiased Item Recommendation Qi Wan Xiangnan He Xiang Wang Jiancan Wu Wei Guo Ruiming Tang CML 23 36 0 26 Apr 2022
Empowering Next POI Recommendation with Multi-Relational Modeling Zhengxiong Huang Jing Ma Yushun Dong N. Foutz Jundong Li 19 22 0 24 Apr 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yongqian Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation Dazhong Rong Shuai Ye Ruoyan Zhao Hon Ning Yuen Jianhai Chen Qinming He AAML FedML 16 57 0 01 Apr 2022
Neighbor Enhanced Graph Convolutional Networks for Node Classification and Recommendation Hao Chen Zhong Huang Yue Xu Zengde Deng Feiran Huang Peng He Zhoujun Li GNN 11 50 0 30 Mar 2022
Multi-view Multi-behavior Contrastive Learning in Recommendation Yiqing Wu Ruobing Xie Yongchun Zhu Xiang Ao Xin Chen Xu-Yao Zhang Fuzhen Zhuang Leyu Lin Qing He 10 78 0 20 Mar 2022
Simultaneous Learning of the Inputs and Parameters in Neural Collaborative Filtering Ramin Raziperchikolaei Young-joo Chung 24 2 0 14 Mar 2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering SeongKu Kang Dongha Lee Wonbin Kweon Junyoung Hwang Hwanjo Yu 17 12 0 26 Feb 2022
Graph Spring Network and Informative Anchor Selection for Session-based Recommendation Zizhuo Zhang Bang-wei Wang 8 10 0 19 Feb 2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph Ruijie Wang Zheng Li Danqing Zhang Qingyu Yin Tong Zhao Bing Yin Tarek F. Abdelzaher AI4TS 24 24 0 12 Feb 2022
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network Yajing Liu Zhengya Sun Wensheng Zhang 14 25 0 12 Feb 2022
Survey on Graph Neural Network Acceleration: An Algorithmic Perspective Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye Shirui Pan Yuan Xie GNN 13 41 0 10 Feb 2022
Intent Contrastive Learning for Sequential Recommendation Yong-Guang Chen Zhiwei Liu Jia Li Julian McAuley Caiming Xiong 37 290 0 05 Feb 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun M. Zhang Bolin Ding MU 36 85 0 18 Jan 2022
Neighboring Backdoor Attacks on Graph Convolutional Network Liang Chen Qibiao Peng Jintang Li Yang Liu Jiawei Chen Yong Li Zibin Zheng GNN AAML 32 11 0 17 Jan 2022
Sequential Recommendation via Stochastic Self-Attention Ziwei Fan Zhiwei Liu Alice Wang Zahra Nazari Lei Zheng Hao Peng Philip S. Yu AI4TS 23 138 0 16 Jan 2022
Supervised Contrastive Learning for Recommendation Chun Yang 11 37 0 10 Jan 2022
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation Wentao Ning Reynold Cheng Jiajun Shen Nur Al Hasan Haldar B. Kao Xiao Yan Nan Huo Wai Lam Tian Li Bo Tang 24 18 0 23 Dec 2021
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering Yiqi Wang Chaozhuo Li Zheng Liu Mingzheng Li Jiliang Tang Xing Xie Lei Chen Philip S. Yu 28 23 0 14 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 27 22 0 04 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 22 6 0 04 Dec 2021
Quaternion-Based Graph Convolution Network for Recommendation Yaxing Fang Pengpeng Zhao Guanfeng Liu Yanchi Liu Victor S. Sheng Lei Zhao Xiaofang Zhou GNN 17 2 0 20 Nov 2021
Scaling Law for Recommendation Models: Towards General-purpose User Representations Kyuyong Shin Hanock Kwak KyungHyun Kim Max Nihlén Ramström Jisu Jeong Jung-Woo Ha S. Kim ELM 36 38 0 15 Nov 2021
Session-aware Item-combination Recommendation with Transformer Network Tzu-Heng Lin Chen Gao LMTD 14 0 0 13 Nov 2021
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Mengqi Zhang Shu Wu Liang Wang 22 34 0 01 Nov 2021
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems Yao Zhou Haonan Wang Jingrui He Haixun Wang 24 15 0 28 Oct 2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion Shijie Zhang Hongzhi Yin Tong Chen Zi Huang Quoc Viet Hung Nguyen Li-zhen Cui FedML AAML 14 96 0 21 Oct 2021
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 24 169 0 08 Oct 2021
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Fei Wu OOD 39 8 0 08 Oct 2021
Dynamic Sequential Graph Learning for Click-Through Rate Prediction Yunfei Chu Xiaofu Chang Kunyang Jia Jingzhen Zhou Hongxia Yang 18 3 0 26 Sep 2021
Top-N Recommendation with Counterfactual User Preference Simulation Mengyue Yang Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 45 64 0 02 Sep 2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction Fuchen Gao Zhanquan Wang Zhenguang Liu AI4TS GNN 30 5 0 29 Aug 2021
Inductive Matrix Completion Using Graph Autoencoder Wei Shen Chuheng Zhang Yunkun Tian Liang Zeng Xiaonan He Wanchun Dou Xiaolong Xu 11 24 0 25 Aug 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 28 99 0 17 Aug 2021
Causal Incremental Graph Convolution for Recommender System Retraining Sihao Ding Fuli Feng Xiangnan He Yong Liao Jun Shi Yongdong Zhang CML CLL BDL GNN 32 35 0 16 Aug 2021
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 Jeongwhan Choi Jinsung Jeon Noseong Park 32 30 0 08 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 21 31 0 02 Aug 2021
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack Fan Wu Min Gao Junliang Yu Zongwei Wang Kecheng Liu Wange Xu AAML 17 34 0 22 Jul 2021
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation Yitong Pang Lingfei Wu Qi Shen Yiming Zhang Zhihua Wei Fangli Xu Ethan Chang Bo Long Jian Pei 38 111 0 08 Jul 2021
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering Xin Zhou Aixin Sun Yong-jin Liu Jie Zhang C. Miao SSL 29 76 0 07 Jul 2021
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Yunan Zhao Bing Han Lin Zheng Kaixin Gao Xiaobo Guo 32 8 0 06 Jul 2021
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 19 2 0 27 Jun 2021
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation Ziwei Fan Zhiwei Liu Lei Zheng Shen Wang Philip S. Yu 30 49 0 11 Jun 2021
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 38 20 0 07 Jun 2021
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Anton van den Hengel Le Wu Haiping Ma Richang Hong Meng Wang 12 28 0 31 May 2021
TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning Lu Wang Xiaofu Chang Shuang Li Yunfei Chu Hui Li Wei Zhang Xiaofeng He Le Song Jingren Zhou Hongxia Yang 24 51 0 17 May 2021
Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation Lei Chen Le Wu Anton van den Hengel Richang Hong Meng Wang BDL CML 15 16 0 16 May 2021
Scalable Personalised Item Ranking through Parametric Density Estimation Riku Togashi Masahiro Kato Mayu Otani T. Sakai Shiníchi Satoh 38 0 0 11 May 2021