v1v2 (latest)

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization

18 April 2022

Menglin Yang

Min Zhou

Jiahong Liu

Defu Lian

Irwin King

ArXiv (abs)PDF HTML

Papers citing "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization"

34 / 34 papers shown

Title
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning Jiahong Liu Menglin Yang Min Zhou Shanshan Feng Philippe Fournier-Viger SSL 71 23 0 21 Jan 2022
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation Yankai Chen Yaming Yang Yujing Wang Jing Bai Xiangchen Song Irwin King 61 58 0 05 Sep 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space Menglin Yang Min Zhou Marcus Kalander Zengfeng Huang Irwin King 72 126 0 08 Jul 2021
Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems Sixiao Zhang Hongxu Chen Xiao Ming Li-zhen Cui Hongzhi Yin Guandong Xu 68 40 0 19 May 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 64 98 0 15 Apr 2021
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding Menglin Yang Ziqiao Meng Irwin King 85 28 0 27 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 149 205 0 26 Feb 2021
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation Chen Ma Liheng Ma Yingxue Zhang Ruiming Tang Xue Liu Mark Coates 95 50 0 13 Jan 2021
AutoGraph: Automated Graph Neural Network Yaoman Li Irwin King GNN 43 44 0 23 Nov 2020
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Hongzhi Zhang Yanan Cao Bin Wang 113 93 0 23 Oct 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 124 1,496 0 04 Jul 2020
Unifying Graph Convolutional Neural Networks and Label Propagation Hongwei Wang J. Leskovec GNN 89 170 0 17 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 191 3,674 0 06 Feb 2020
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding Xinyu Fu Jiani Zhang Ziqiao Meng Irwin King 109 877 0 05 Feb 2020
Hyperbolic Graph Attention Network Yiding Zhang Tianlin Li Xunqiang Jiang C. Shi Yanfang Ye GNN 68 133 0 06 Dec 2019
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 113 651 0 28 Oct 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 75 381 0 28 Oct 2019
Collaborative Translational Metric Learning Chanyoung Park Donghyun Kim Xing Xie Hwanjo Yu 40 53 0 04 Jun 2019
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems Jiani Zhang Xingjian Shi Shenglin Zhao Irwin King 59 227 0 27 May 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 187 2,991 0 20 May 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 86 295 0 03 Apr 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 248 3,182 0 19 Feb 2019
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems Lucas Vinh Tran Yi Tay Shuai Zhang Gao Cong Xiaoli Li 71 124 0 05 Sep 2018
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry Maximilian Nickel Douwe Kiela 51 463 0 09 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,550 0 06 Jun 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 58 605 0 23 May 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 110 573 0 20 Mar 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 183 1,241 0 16 Feb 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Yi Tay Anh Tuan Luu S. Hui 145 304 0 17 Jul 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 665 29,156 0 09 Sep 2016
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 230 4,884 0 21 Dec 2013
Stochastic gradient descent on Riemannian manifolds Silvere Bonnabel 117 593 0 22 Nov 2011