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
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 24 198 0 16 Feb 2023
Semi-decentralized Federated Ego Graph Learning for Recommendation Liang Qu Ningzhi Tang Ruiqi Zheng Quoc Viet Hung Nguyen Zi Huang Yuhui Shi Hongzhi Yin FedML 74 51 0 10 Feb 2023
Towards Lightweight Cross-domain Sequential Recommendation via External Attention-enhanced Graph Convolution Network Jinyu Zhang Huichuan Duan Lei Guo Liancheng Xu Xinhua Wang GNN 39 4 0 07 Feb 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 34 5 0 26 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 21 0 0 25 Jan 2023
A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems Nikzad Chizari Niloufar Shoeibi María N. Moreno-García 28 13 0 18 Jan 2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation Hongrui Xuan Yi Liu Bohan Li Hongzhi Yin 24 66 0 13 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Y. Choi Chong-Kwon Kim 26 3 0 12 Jan 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 33 7 0 10 Jan 2023
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings Ryan Aponte Ryan A. Rossi Shunan Guo Jane Hoffswell Nedim Lipka Chang Xiao G. Chan E. Koh Nesreen Ahmed GNN 25 11 0 28 Dec 2022
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation Yizhou Dang Enneng Yang G. Guo Linying Jiang Xingwei Wang Xiaoxiao Xu Qinghui Sun Hong Liu AI4TS 16 47 0 16 Dec 2022
Towards High-Order Complementary Recommendation via Logical Reasoning Network Longfeng Wu Yao Zhou Dawei Zhou 24 10 0 09 Dec 2022
Unbiased Knowledge Distillation for Recommendation Gang Chen Jiawei Chen Fuli Feng Sheng Zhou Xiangnan He 24 27 0 27 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 34 8 0 21 Nov 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation Zhen Tian Ting Bai Ziyan Zhang Zhiyuan Xu Kangyi Lin Ji-Rong Wen Wayne Xin Zhao 23 18 0 21 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates Tobias Schnabel Mengting Wan Longqi Yang HAI 27 8 0 11 Nov 2022
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition Lizhi Xiang Miao Yin Chengming Zhang Aravind Sukumaran-Rajam P. Sadayappan Bo Yuan Dingwen Tao 3DV 20 8 0 07 Nov 2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates Baixi Sun Xiaodong Yu Chengming Zhang Jiannan Tian Sian Jin K. Iskra Tao Zhou Tekin Bicer Pete Beckman Dingwen Tao 19 1 0 01 Nov 2022
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation Yifang Qin Yifan Wang Fang Sun Wei Ju Xuyang Hou Zhe Wang Jia Cheng Jun Lei Ming Zhang 33 45 0 29 Oct 2022
A Two Step Approach to Weighted Bipartite Link Recommendations Na Ma 6 0 0 29 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 31 0 0 26 Oct 2022
Recommendation with User Active Disclosing Willingness Lei Wang Xu Chen Quanyu Dai Zhenhua Dong 11 2 0 25 Oct 2022
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 24 6 0 25 Oct 2022
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer Ziwei Fan Zhiwei Liu Chen Wang Peijie Huang Hao Peng Philip S. Yu 17 7 0 24 Oct 2022
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen Shouzhen Chen Mingyuan Bai Junbin Gao Junping Zhang Jian Pu 37 10 0 18 Oct 2022
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 30 24 0 15 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 41 57 0 14 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 21 41 0 11 Oct 2022
Signed Latent Factors for Spamming Activity Detection Yuli Liu 17 1 0 28 Sep 2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations Hao Chen Zefan Wang Yue Xu Xiao Huang Feiran Huang 22 1 0 25 Sep 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuan-Qi Bei Feiran Huang BDL GNN 13 1 0 25 Sep 2022
The effectiveness of factorization and similarity blending Andrea Pinto Giacomo Camposampiero Loic Houmard Marc Lundwall 18 0 0 16 Sep 2022
A Scalable Recommendation Engine for New Users and Items Boya Xu Yiting Deng C. Mela 30 2 0 06 Sep 2022
Disentangled Contrastive Learning for Social Recommendation Jiahao Wu Wenqi Fan Jingfan Chen Shengcai Liu Qing Li Jiaheng Zhang 32 67 0 18 Aug 2022
Adversarial Camouflage for Node Injection Attack on Graphs Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Liang Hou Fei Sun Xueqi Cheng AAML GNN 30 21 0 03 Aug 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 24 109 0 28 Jul 2022
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory Yuwei Hu Jiajie Li Zhongming Yu Zhiru Zhang GNN 39 0 0 25 Jul 2022
Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation Yuhao Yang Chao Huang Lianghao Xia Yuxuan Liang Yanwei Yu Chenliang Li HAI 13 118 0 12 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems Yu-Chiang Frank Wang Yuying Zhao Yi Zhang Tyler Derr GNN 32 61 0 03 Jul 2022
Boosting Factorization Machines via Saliency-Guided Mixup Chenwang Wu Defu Lian Yong Ge Min Zhou Enhong Chen Dacheng Tao 11 4 0 17 Jun 2022
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation Lei Guo Jinyu Zhang Tong Chen Xinhua Wang Hongzhi Yin 16 43 0 16 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Bin Cui GNN AI4CE 26 39 0 09 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 31 8 0 08 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 33 28 0 03 Jun 2022
Lower and Upper Bounds for Numbers of Linear Regions of Graph Convolutional Networks Hao Chen Yu Wang Huan Xiong GNN 16 6 0 01 Jun 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 22 3 0 30 May 2022
Enhancing Sequential Recommendation with Graph Contrastive Learning Yixin Zhang Yong-jin Liu Yonghui Xu Hao Xiong Chenyi Lei Weiliang He Li-zhen Cui C. Miao 18 56 0 30 May 2022
Graph-Based Methods for Discrete Choice K. Tomlinson Austin R. Benson 13 3 0 23 May 2022
Knowledge Graph Contrastive Learning for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chenliang Li 26 321 0 02 May 2022