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
Data Watermarking for Sequential Recommender Systems Sixiao Zhang Cheng Long Wei Yuan Hongxu Chen Hongzhi Yin 0 0 0 20 Nov 2024
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 43 0 0 16 Nov 2024
LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation Shutong Qiao Chen Gao Wei Yuan Yong Li Hongzhi Yin 44 2 0 14 Nov 2024
Reconsidering the Performance of GAE in Link Prediction Weishuo Ma Yanbo Wang Xuben Wang Muhan Zhang 36 1 0 06 Nov 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang P. Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 32 0 0 25 Oct 2024
End-to-end Training for Recommendation with Language-based User Profiles Zhaolin Gao Joyce Zhou Yijia Dai Thorsten Joachims AI4Ed 59 3 0 24 Oct 2024
Taming the Long Tail in Human Mobility Prediction Xiaohang Xu Renhe Jiang Chuang Yang Z. Fan Kaoru Sezaki 44 1 0 19 Oct 2024
Preference Diffusion for Recommendation Shuo Liu An Zhang Guoqing Hu Hong Qian Tat-Seng Chua 57 1 0 17 Oct 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems Ziqiang Cui Yunpeng Weng Xing Tang Fuyuan Lyu Dugang Liu Xiuqiang He Chen Ma 41 3 0 16 Oct 2024
Conformal Prediction: A Data Perspective Xiaofan Zhou Baiting Chen Yu Gui Lu Cheng 88 3 0 09 Oct 2024
Mitigating Propensity Bias of Large Language Models for Recommender Systems Guixian Zhang Guan Yuan Debo Cheng Lin Liu Jiuyong Li Shichao Zhang 44 2 0 30 Sep 2024
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition Wen Ge Guanyi Mou Emmanuel O. Agu Kyumin Lee 25 4 0 26 Sep 2024
Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus Bangchao Deng Xin Jing Tianyue Yang Bingqing Qu Dingqi Yang Philippe Cudre-Mauroux 31 0 0 20 Sep 2024
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems Zehua Wang Min Gao Junliang Yu Xinyi Gao Quoc Viet Hung Nguyen S. Sadiq Hongzhi Yin AAML 46 3 0 18 Sep 2024
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation Tianrui Song Wenshuo Chao Hao Liu 24 3 0 16 Sep 2024
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation Chengbing Wang Wentao Shi Jizhi Zhang Luu Anh Tuan Hang Pan Fuli Feng 51 0 0 07 Sep 2024
FedPCL-CDR: A Federated Prototype-based Contrastive Learning Framework for Privacy-Preserving Cross-domain Recommendation Li Wang Qiang Wu Min Xu 25 1 0 05 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 45 5 0 02 Sep 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding Yunjia Xi Hangyu Wang Bo Chen Jianghao Lin Menghui Zhu Wei Liu Ruiming Tang Zhewei Wei Wenbo Zhang Yong Yu OffRL 92 4 0 11 Aug 2024
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity H. Chung Jungtaek Kim Hyungeun Jo Hyungwon Choi 39 0 0 01 Aug 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 2024
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Liancheng Fang Philip S. Yu GNN 34 1 0 26 Jul 2024
Graph Dimension Attention Networks for Enterprise Credit Assessment Shaopeng Wei Béni Egressy Xingyan Chen Yu Zhao Fuzhen Zhuang Roger Wattenhofer Gang Kou 37 0 0 16 Jul 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation Jianxin Wei Yizheng Zhu Xiaokui Xiao Ergute Bao Yin Yang Kuntai Cai Beng Chin Ooi AAML 27 0 0 06 Jul 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems Hung Vinh Tran Tong Chen Quoc Viet Hung Nguyen Zi-Rui Huang Lizhen Cui Hongzhi Yin 41 1 0 25 Jun 2024
MMBee: Live Streaming Gift-Sending Recommendations via Multi-Modal Fusion and Behaviour Expansion Jiaxin Deng Shiyao Wang Yuchen Wang Jiansong Qi Liqin Zhao Guorui Zhou Gaofeng Meng 28 3 0 15 Jun 2024
Non-autoregressive Personalized Bundle Generation Wenchuan Yang Cheng Yang Jichao Li Yuejin Tan Xin Lu Chuan Shi 28 0 0 11 Jun 2024
XRec: Large Language Models for Explainable Recommendation Qiyao Ma Xubin Ren Chao Huang LRM 31 17 0 04 Jun 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations Hai-Dang Kieu Minh-Duc Nguyen T. Nguyen Dung D. Le RALM LRM 79 2 0 30 May 2024
Towards Completeness-Oriented Tool Retrieval for Large Language Models Changle Qu Sunhao Dai Xiaochi Wei Hengyi Cai Shuaiqiang Wang Dawei Yin Jun Xu Jirong Wen KELM 31 7 0 25 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 46 2 0 21 May 2024
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library Lei Cheng Xiaowen Huang Jitao Sang Jian Yu AAML 25 1 0 27 Apr 2024
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering H. Jung Hyunsoo Cho Myungje Choi Joowon Lee Jung Ho Park Myungjoo Kang 29 0 0 23 Apr 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Yukui Hou Jin-Duk Park Won-Yong Shin 26 13 0 22 Apr 2024
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective Siyi Lin Chongming Gao Jiawei Chen Sheng Zhou Binbin Hu Yan Feng Chun-Yen Chen Can Wang 26 7 0 18 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 36 0 0 15 Apr 2024
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty Peijie Sun Yifan Wang Min Zhang Chuhan Wu Yan Fang Hong Zhu Yuan Fang Meng Wang OffRL 36 10 0 12 Apr 2024
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems Mengyan Wang Yuxuan Hu Shiqing Wu Weihua Li Quan-wei Bai V. Rupar 23 1 0 07 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 40 4 0 27 Mar 2024
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks Jaehyun Lee Seonku Kang Hwanjo Yu 23 2 0 07 Mar 2024
A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation Li Wang Lei Sang Quangui Zhang Qiang Wu Min Xu 40 3 0 06 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 40 1 0 06 Mar 2024
Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework Junxian Li Bin Shi Erfei Cui Hua Wei Qinghua Zheng 46 0 0 02 Mar 2024
Graph Regularized Encoder Training for Extreme Classification Anshul Mittal Shikhar Mohan Deepak Saini Suchith C. Prabhu Jain jiao ... Manik Varma Sumeet Agarwal Soumen Chakrabarti Purushottam Kar Manik Varma GNN 33 0 0 28 Feb 2024
UMAIR-FPS: User-aware Multi-modal Animation Illustration Recommendation Fusion with Painting Style Yan Kang Hao Lin Mingjian Yang Shin-Jye Lee 31 0 0 16 Feb 2024
Continual Learning on Graphs: A Survey Zonggui Tian Duanhao Zhang Hong-Ning Dai 47 5 0 09 Feb 2024
Large Language Model Agent for Hyper-Parameter Optimization Siyi Liu Chen Gao Yong Li 46 19 0 02 Feb 2024
QoS-Aware Graph Contrastive Learning for Web Service Recommendation Jeongwhan Choi Duksan Ryu 25 2 0 06 Jan 2024
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation Zi-Feng Mai Chang-Dong Wang Zhongjie Zeng Ya Li Jiaquan Chen Philip S. Yu 21 1 0 26 Dec 2023