HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

5 September 2018

Papers citing "HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems"

11 / 11 papers shown

Title
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 39 1 0 02 Apr 2025
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 42 20 0 15 Jun 2023
Hyperbolic Geometry in Computer Vision: A Survey Pengfei Fang Mehrtash Harandi Trung Le Dinh Q. Phung 32 4 0 21 Apr 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
Generalized Reciprocal Perspective Kevin Dick Daniel G. Kyrollos J.R. Green 31 0 0 20 Oct 2022
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 44 22 0 20 Sep 2021
Hierarchical Latent Relation Modeling for Collaborative Metric Learning Viet-Anh Tran Guillaume Salha-Galvan Romain Hennequin Manuel Moussallam 13 10 0 26 Jul 2021
Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations Pan Li Alexander Tuzhilin 22 50 0 17 Apr 2021
Switch Spaces: Learning Product Spaces with Sparse Gating Shuai Zhang Yi Tay Wenqi Jiang Da-Cheng Juan Ce Zhang 57 7 0 17 Feb 2021
HSR: Hyperbolic Social Recommender Anchen Li Bo Yang 26 19 0 15 Feb 2021
Learning User Representations with Hypercuboids for Recommender Systems Shuai Zhang Huoyu Liu Aston Zhang Yue Hu Ce Zhang Yumeng Li Tanchao Zhu Shaojian He Wenwu Ou 25 17 0 11 Nov 2020