Neural Graph Collaborative Filtering

20 May 2019

Xiang Wang

Meng Wang

Papers citing "Neural Graph Collaborative Filtering"

50 / 186 papers shown

Title
Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation Yuqin Lan 31 0 0 10 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 44 0 0 01 May 2025
Why is Normalization Necessary for Linear Recommenders? Seongmin Park Mincheol Yoon Hye-young Kim Jongwuk Lee 35 0 0 08 Apr 2025
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials Chu Zhao Enneng Yang Yuting Liu Jianzhe Zhao G. Guo Xingwei Wang 39 0 0 07 Apr 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 48 3 0 27 Mar 2025
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings Sidharth Agarwal Tanishq Dubey Shubham Gupta Srikanta J. Bedathur AI4TS AI4CE 42 0 0 02 Mar 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling Shu Wu Zekun Li Yunyue Su Zeyu Cui Xiaoyu Zhang Liang Wang 72 22 0 24 Feb 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 102 3 0 20 Feb 2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations J. Zhang Huan Li Dazhong Rong Yan Zhao Ke Chen Lidan Shou AAML 80 4 0 18 Feb 2025
Criteria-Aware Graph Filtering: Extremely Fast Yet Accurate Multi-Criteria Recommendation Jin-Duk Park Jaemin Yoo Won-Yong Shin 71 1 0 13 Feb 2025
Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation Chenhao Zhai Chang Meng Yu Yang Kexin Zhang Xuhao Zhao Xiu Li 89 0 0 04 Feb 2025
Unified Spatial-Temporal Edge-Enhanced Graph Networks for Pedestrian Trajectory Prediction Ruochen Li Tanqiu Qiao Stamos Katsigiannis Zhanxing Zhu Hubert P. H. Shum AI4TS 68 1 0 04 Feb 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 82 0 0 28 Jan 2025
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model Chu Zhao Enneng Yang Yuliang Liang Jianzhe Zhao G. Guo Xingwei Wang 42 1 0 28 Jan 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation Hoang V. Dong Yuan Fang Hady W. Lauw 42 2 0 21 Jan 2025
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation Han Liu Yinwei Wei Fan Liu Luu Anh Tuan Liqiang Nie Tat-Seng Chua 56 17 0 13 Jan 2025
KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion Dong Hyun Jeon Wenbo Sun Haoze Song Dongfang Liu Velasquez Alvaro Yixin Xie Shuteng Niu 45 0 0 07 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 95 2 0 03 Jan 2025
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective Zhangchi Zhu Wei Zhang 43 0 0 16 Nov 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
Large Language Model Enhanced Hard Sample Identification for Denoising Recommendation Tianrui Song Wenshuo Chao Hao Liu 32 3 0 16 Sep 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 53 5 0 02 Sep 2024
Retrieval Augmented Generation for Dynamic Graph Modeling Yuxia Wu Lizi Liao Yuan Fang 54 3 0 26 Aug 2024
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity H. Chung Jungtaek Kim Hyungeun Jo Hyungwon Choi 47 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 53 5 0 01 Aug 2024
Debiased Graph Poisoning Attack via Contrastive Surrogate Objective Kanghoon Yoon Yeonjun In Namkyeong Lee Kibum Kim Chanyoung Park AAML 31 2 0 27 Jul 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 39 1 0 26 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 45 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 31 3 0 15 Jun 2024
XRec: Large Language Models for Explainable Recommendation Qiyao Ma Xubin Ren Chao Huang LRM 37 18 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
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System Lei Zheng Ning Li Weinan Zhang Yong Yu AI4TS 41 0 0 24 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 37 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
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 31 1 0 07 Apr 2024
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement Jing Du Zesheng Ye Bin Guo Zhiwen Yu Lina Yao 36 1 0 06 Apr 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 42 4 0 27 Mar 2024
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks Jaehyun Lee Seonku Kang Hwanjo Yu 28 2 0 07 Mar 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 48 1 0 06 Mar 2024
Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation Jiajie Su Chaochao Chen Zibin Lin Xi Li Weiming Liu Xiaolin Zheng 38 23 0 22 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach Chengyi Ju Jiannong Cao Yu Yang Zhen-Qun Yang Ho Man Lee 18 0 0 19 Feb 2024
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review A. Vats Vinija Jain Rahul Raja Aman Chadha LRM 28 13 0 11 Feb 2024
Improving One-class Recommendation with Multi-tasking on Various Preference Intensities Chu-Jen Shao Hao-Ming Fu Pu-Jen Cheng 21 1 0 18 Jan 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 44 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 29 1 0 26 Dec 2023
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation Yungi Kim Taeri Kim Won-Yong Shin Sang-Wook Kim 33 10 0 15 Dec 2023
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks Zongwei Wang Junliang Yu Min Gao Hongzhi Yin Bin Cui S. Sadiq AAML 34 7 0 30 Nov 2023
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs Shengyin Sun Yuxiang Ren Chen Ma Xuecang Zhang 115 20 0 24 Nov 2023