Disentangled Graph Collaborative Filtering

3 July 2020

Xiang Wang

Papers citing "Disentangled Graph Collaborative Filtering"

37 / 37 papers shown

Title
GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation Ahmad Bin Rabiah Julian McAuley AI4TS 4 0 0 15 May 2025
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 47 0 0 01 May 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 42 0 0 07 Apr 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 121 5 0 13 Mar 2025
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios Yixin Su Wei Jiang Fangquan Lin Cheng-Fu Yang S. Erfani Junhao Gan Yunxiang Zhao Ruixuan Li Rui-Xun Zhang CML 76 0 0 05 Mar 2025
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks Nemat Gholinejad M. H. Chehreghani 104 3 0 20 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
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 55 6 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 39 1 0 26 Jul 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
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 44 4 0 27 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges Wei Ju Siyu Yi Yifan Wang Zhiping Xiao Zhengyan Mao ... Senzhang Wang Xinwang Liu Xiao Luo Philip S. Yu Ming Zhang AI4CE 41 36 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
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
CROWN: A Novel Approach to Comprehending Users' Preferences for Accurate Personalized News Recommendation Yunyong Ko Seongeun Ryu Sang-Wook Kim AI4TS 21 0 0 13 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 31 10 0 31 Aug 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
Preference or Intent? Double Disentangled Collaborative Filtering Chao Wang Hengshu Zhu Dazhong Shen Wei Wu Hui Xiong 36 1 0 18 May 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 21 2 0 09 May 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 72 142 0 11 Apr 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 29 199 0 16 Feb 2023
Disentangled Representation Learning Xin Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 37 78 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
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 40 46 0 29 Oct 2022
Self-Supervised Hypergraph Transformer for Recommender Systems Lianghao Xia Chao Huang Chuxu Zhang 32 109 0 28 Jul 2022
Towards Faithful and Consistent Explanations for Graph Neural Networks Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang FAtt 65 19 0 27 May 2022
Hypergraph Contrastive Collaborative Filtering Lianghao Xia Chao Huang Yong-mei Xu Jiashu Zhao Dawei Yin J. Huang 38 304 0 26 Apr 2022
Multi-view Intent Disentangle Graph Networks for Bundle Recommendation Sen Zhao Wei Wei Ding Zou Xian-Ling Mao 36 89 0 23 Feb 2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning Zihan Lin Changxin Tian Yupeng Hou Wayne Xin Zhao 22 419 0 13 Feb 2022
Supervised Contrastive Learning for Recommendation Chun Yang 19 37 0 10 Jan 2022
Session-aware Item-combination Recommendation with Transformer Network Tzu-Heng Lin Chen Gao LMTD 14 0 0 13 Nov 2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering Kelong Mao Jieming Zhu Jinpeng Wang Quanyu Dai Zhenhua Dong Xi Xiao Xiuqiang He 18 159 0 26 Sep 2021
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network Junkang Wu Wentao Shi Xuezhi Cao Jiawei Chen Wenqiang Lei Fuzheng Zhang Wei Wu Xiangnan He 24 66 0 22 Aug 2021
Learning Intents behind Interactions with Knowledge Graph for Recommendation Xiang Wang Tinglin Huang Dingxian Wang Yancheng Yuan Zhenguang Liu Xiangnan He Tat-Seng Chua 90 415 0 14 Feb 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 138 273 0 23 Jan 2021
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 60 1,177 0 04 Nov 2020
Measuring and testing dependence by correlation of distances G. Székely Maria L. Rizzo N. K. Bakirov 185 2,578 0 28 Mar 2008