Neural Graph Collaborative Filtering

20 May 2019

Xiang Wang

Meng Wang

Papers citing "Neural Graph Collaborative Filtering"

50 / 186 papers shown

Title
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 29 4 0 21 Nov 2023
Neural Graph Collaborative Filtering Using Variational Inference Narges Sadat Fazeli Dehkordi Hadi Zare P. Moradi Mahdi Jalili 11 0 0 20 Nov 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 62 1 0 08 Nov 2023
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation Bo Yan Yang Cao Haoyu Wang Wenchuan Yang Junping Du Chuan Shi FedML 16 23 0 18 Oct 2023
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation Haibo Ye Xinjie Li Yuan Yao Hanghang Tong 43 0 0 23 Sep 2023
IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation Dezhao Yang Jianghong Ma Shanshan Feng Haijun Zhang Zhao Zhang 23 0 0 30 Aug 2023
How Expressive are Graph Neural Networks in Recommendation? Xuheng Cai Lianghao Xia Xubin Ren Chao Huang 38 6 0 22 Aug 2023
Single-User Injection for Invisible Shilling Attack against Recommender Systems Chengzhi Huang Hui Li 29 13 0 21 Aug 2023
Toward a Better Understanding of Loss Functions for Collaborative Filtering Seongmin Park Mincheol Yoon Jae-woong Lee Hogun Park Jongwuk Lee 29 14 0 11 Aug 2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework Guowei Wu Weike Pan Zhong Ming FedML 46 2 0 25 Jul 2023
Sharpness-Aware Graph Collaborative Filtering Huiyuan Chen Chin-Chia Michael Yeh Yujie Fan Yan Zheng Junpeng Wang Vivian Lai Mahashweta Das Hao Yang 31 5 0 18 Jul 2023
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning Ghanshyam Verma Shovon Sengupta Simon Simanta Huan Chen J. Perge Devishree Pillai John P. Mccrae P. Buitelaar OffRL 20 1 0 11 Jul 2023
Knowledge Graph Self-Supervised Rationalization for Recommendation Yuhao Yang Chao Huang Lianghao Xia Chunzhen Huang 30 88 0 06 Jul 2023
OpenSiteRec: An Open Dataset for Site Recommendation Xinhang Li Xiang Zhao Yejing Wang Yu Liu Yong Li Cheng Long Yong Zhang Chunxiao Xing 16 0 0 03 Jul 2023
Representation Learning via Variational Bayesian Networks Oren Barkan Avi Caciularu Idan Rejwan Ori Katz Jonathan Weill Itzik Malkiel Noam Koenigstein BDL 24 15 0 28 Jun 2023
LogicRec: Recommendation with Users' Logical Requirements Zhenwei Tang Griffin Floto Armin Toroghi Shichao Pei Xiangliang Zhang Scott Sanner 36 3 0 23 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs Chengming Zhang Shaden Smith Baixi Sun Jiannan Tian Jon Soifer Xiaodong Yu Shuaiwen Leon Song Yuxiong He Dingwen Tao 41 0 0 14 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 39 14 0 12 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 64 141 0 11 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 36 50 0 06 Apr 2023
Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs Maolin Luo Xiang Zhang 19 0 0 03 Apr 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 32 6 0 28 Mar 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 24 199 0 16 Feb 2023
Adap- $τ$ : Adaptively Modulating Embedding Magnitude for Recommendation Jiawei Chen Junkang Wu Jiancan Wu Sheng Zhou Xuezhi Cao Xiangnan He 33 30 0 09 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 42 4 0 07 Feb 2023
Job recommendations: benchmarking of collaborative filtering methods for classifieds Robert Kwieciñski A. Filipowska Tomasz Górecki V. Dubrov 13 4 0 19 Jan 2023
Knowledge Enhancement for Contrastive Multi-Behavior Recommendation Hongrui Xuan Yi Liu Bohan Li Hongzhi Yin 29 66 0 13 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
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Mehrtash Mehrabi Walid Masoudimansour Yingxue Zhang Jie Chuai Zhitang Chen Mark J. Coates Jianye Hao Yanhui Geng 51 1 0 29 Dec 2022
Decentralized Matrix Factorization with Heterogeneous Differential Privacy Wentao Hu Hui Fang 19 0 0 01 Dec 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 41 7 0 26 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 29 18 0 21 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 40 0 17 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 40 20 0 12 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
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 46 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 36 0 0 26 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
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 33 24 0 15 Oct 2022
JuryGCN: Quantifying Jackknife Uncertainty on Graph Convolutional Networks Jian Kang Qinghai Zhou Hanghang Tong UQCV 41 21 0 12 Oct 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended Version) Yuting Feng Bogdan Cautis GNN AI4TS 31 3 0 04 Oct 2022
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 38 8 0 30 Sep 2022
GPatch: Patching Graph Neural Networks for Cold-Start Recommendations Hao Chen Zefan Wang Yue Xu Xiao Huang Feiran Huang 30 1 0 25 Sep 2022
Flattened Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Yuan-Qi Bei Feiran Huang BDL GNN 21 1 0 25 Sep 2022
The effectiveness of factorization and similarity blending Andrea Pinto Giacomo Camposampiero Loic Houmard Marc Lundwall 23 0 0 16 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
Generating Negative Samples for Sequential Recommendation Yong-Guang Chen Jia Li Zhiwei Liu N. Keskar Haiquan Wang Julian McAuley Caiming Xiong 30 4 0 07 Aug 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 30 109 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