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Graph Trend Filtering Networks for Recommendations

12 August 2021

Xiangyu Zhao

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Papers citing "Graph Trend Filtering Networks for Recommendations"

36 / 36 papers shown

Title
Prompt-Based LLMs for Position Bias-Aware Reranking in Personalized Recommendations Md Aminul Islam Ahmed Sayeed Faruk 140 0 0 08 May 2025
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent Liang-bo Ning Shijie Wang Wenqi Fan Qing Li Xin Xu Hao Chen Feiran Huang AAML 105 21 0 13 Apr 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs Zhongzhan Huang Guoming Ling Vincent S. Liang Yupei Lin Yandong Chen Shanshan Zhong Hefeng Wu LRM 194 7 0 08 Mar 2025
Graph Neural Controlled Differential Equations For Collaborative Filtering Ke Xu Weizhi Zhang Zihe Song Yuanjie Zhu Philip S. Yu 205 1 0 23 Jan 2025
SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation Haohao Qu Yifeng Zhang Liangbo Ning Wenqi Fan Qing Li Mamba 179 9 0 17 Jan 2025
Jointly Attacking Graph Neural Network and its Explanations Wenqi Fan Wei Jin Xiaorui Liu Han Xu Xianfeng Tang Suhang Wang Qing Li Jiliang Tang Jianping Wang Charu C. Aggarwal AAML 82 28 0 07 Aug 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 179 210 0 12 Jul 2021
Elastic Graph Neural Networks Xiaorui Liu W. Jin Yao Ma Yaxin Li Hua Liu Yiqi Wang Ming Yan Jiliang Tang 142 109 0 05 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 67 60 0 12 Jun 2021
Automated Self-Supervised Learning for Graphs Wei Jin Xiaorui Liu Xiangyu Zhao Yao Ma Neil Shah Jiliang Tang SSL 101 76 0 10 Jun 2021
Tensor denoising with trend filtering Francesco Ortelli Sara van de Geer 45 5 0 26 Jan 2021
Node Similarity Preserving Graph Convolutional Networks Wei Jin Hanyu Wang Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 84 257 0 19 Nov 2020
Self-supervised Graph Learning for Recommendation Jiancan Wu Xiang Wang Fuli Feng Xiangnan He Liang Chen Jianxun Lian Xing Xie SSL 194 1,164 0 21 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 116 177 0 05 Oct 2020
Disentangled Graph Collaborative Filtering Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu Tat-Seng Chua 92 548 0 03 Jul 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 84 707 0 20 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Hanyu Wang Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang Qing Li MLAU AAML 60 78 0 17 May 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 198 3,685 0 06 Feb 2020
Sequential Recommender Systems: Challenges, Progress and Prospects Shoujin Wang Liang Hu Yan Wang LongBing Cao Quan Z. Sheng M. Orgun LRM BDL 75 412 0 28 Dec 2019
Does Gender Matter? Towards Fairness in Dialogue Systems Haochen Liu Jamell Dacon Wenqi Fan Hui Liu Zitao Liu Jiliang Tang 140 144 0 16 Oct 2019
Deep Adversarial Social Recommendation Wenqi Fan Hanyu Wang Yao Ma Jianping Wang Jiliang Tang Qing Li GNN 50 69 0 30 May 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 191 2,997 0 20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 90 1,827 0 20 May 2019
Graph Neural Networks for Social Recommendation Wenqi Fan Yao Ma Qing Li Yuan He Yue Zhao Jiliang Tang Dawei Yin 256 1,904 0 19 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 801 8,579 0 03 Jan 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 269 3,552 0 06 Jun 2018
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning Xiangyu Zhao Li Zhang Zhuoye Ding Long Xia Jiliang Tang Dawei Yin 102 336 0 19 Feb 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 196 1,243 0 16 Feb 2018
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 127 1,262 0 07 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 516 15,331 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 679 29,183 0 09 Sep 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Trend Filtering on Graphs Yu Wang James Sharpnack Alex Smola Robert Tibshirani 64 243 0 28 Oct 2014
Collaborative Deep Learning for Recommender Systems Hao Wang Naiyan Wang Dit-Yan Yeung BDL 130 1,619 0 10 Sep 2014
Adaptive piecewise polynomial estimation via trend filtering Robert Tibshirani 90 396 0 10 Apr 2013
BPR: Bayesian Personalized Ranking from Implicit Feedback Steffen Rendle Christoph Freudenthaler Zeno Gantner Lars Schmidt-Thieme BDL 160 5,739 0 09 May 2012