mlsanityData to 7 Oct 2026

HSR: Hyperbolic Social Recommender

arXiv 2102.09389 ↗First posted 15 Feb 2021cs.IR cs.LGcited by 5

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Abstract (arXiv)

With the prevalence of online social media, users' social connections have been widely studied and utilized to enhance the performance of recommender systems. In this paper, we explore the use of hyperbolic geometry for social recommendation. We present Hyperbolic Social Recommender (HSR), a novel social recommendation framework that utilizes hyperbolic geometry to boost the performance. With the help of hyperbolic spaces, HSR can learn high-quality user and item representations for better modeling user-item interaction and user-user social relations. Via a series of extensive experiments, we show that our proposed HSR outperforms its Euclidean counterpart and state-of-the-art social recommenders in click-through rate prediction and top-K recommendation, demonstrating the effectiveness of social recommendation in the hyperbolic space.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 21 of its 52 references that are in the map. First posted on arXiv 15 Feb 2021.

Builds on

21 of 52 references.

References · 21

  1. 2017Neural Collaborative Filteringcited by 1,108
  2. 2017Poincar'e Embeddings for Learning Hierarchical Representationscited by 674
  3. 2017DeepFM: A Factorization-Machine based Neural Network for CTR Predictioncited by 673
  4. 2019Hyperbolic Graph Convolutional Neural Networkscited by 400
  5. 2018Hyperbolic Neural Networkscited by 393
  6. 2018Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometrycited by 261
  7. 2018Representation Tradeoffs for Hyperbolic Embeddingscited by 204
  8. 2018Hyperbolic Entailment Cones for Learning Hierarchical Embeddingscited by 160
  9. 2018Poincar'e GloVe: Hyperbolic Word Embeddingscited by 155
  10. 2018Hyperbolic Attention Networkscited by 122
  11. 2017Fast Matrix Factorization for Online Recommendation with Implicit Feedbackcited by 100
  12. 2019FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Predictioncited by 83
9 more
  1. 2019A Neural Influence Diffusion Model for Social Recommendationcited by 69
  2. 2019Hyperbolic Graph Attention Networkcited by 69
  3. 2018HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systemscited by 47
  4. 2019Scalable Hyperbolic Recommender Systemscited by 19
  5. 2020Modelling High-Order Social Relations for Item Recommendationcited by 13
  6. 2020Performance of Hyperbolic Geometry Models on Top-N Recommendation Taskscited by 13
  7. 2014Communities and Hierarchical Structures in Dynamic Social Networks: Analysis and Visualizationcited by 2
  8. 2019Music Recommendations in Hyperbolic Space: An Application of Empirical Bayes and Hierarchical Poincar'e Embeddingscited by 2
  9. 2018Recommender Systems with Characterized Social Regularizationcited by 1

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Cited by year

Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 0; 2025: 1.

5 papers.

  1. 2023Hyperbolic Deep Learning in Computer Vision: A Surveycited by 72
  2. 2022Hyperbolic Graph Neural Networks: A Review of Methods and Applicationscited by 40
  3. 2021HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendationcited by 4
  4. 2022Poincar'e Heterogeneous Graph Neural Networks for Sequential Recommendationcited by 2
  5. 2025From News to Returns: A Granger-Causal Hypergraph Transformer on the Spherecited by 1