Hyperbolic deep neural networks: A survey

W Peng, T Varanka, A Mostafa, H Shi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, hyperbolic deep neural networks (HDNNs) have been gaining momentum as the
deep representations in the hyperbolic space provide high fidelity embeddings with few …

Hgcf: Hyperbolic graph convolution networks for collaborative filtering

J Sun, Z Cheng, S Zuberi, F Pérez… - Proceedings of the Web …, 2021 - dl.acm.org
Hyperbolic spaces offer a rich setup to learn embeddings with superior properties that have
been leveraged in areas such as computer vision, natural language processing and …

Hme: A hyperbolic metric embedding approach for next-poi recommendation

S Feng, LV Tran, G Cong, L Chen, J Li… - Proceedings of the 43rd …, 2020 - dl.acm.org
With the increasing popularity of location-aware social media services, next-Point-of-Interest
(POI) recommendation has gained significant research interest. The key challenge of next …

Hyperbolic graph attention network

Y Zhang, X Wang, C Shi, X Jiang… - IEEE Transactions on Big …, 2021 - ieeexplore.ieee.org
Graph neural network (GNN) has shown superior performance in dealing with structured
graphs, which has attracted considerable research attention recently. Most of the existing …

Hyperml: A boosting metric learning approach in hyperbolic space for recommender systems

L Vinh Tran, Y Tay, S Zhang, G Cong, X Li - Proceedings of the 13th …, 2020 - dl.acm.org
This paper investigates the notion of learning user and item representations in non-
Euclidean space. Specifically, we study the connection between metric learning in …

Enhancing hierarchy-aware graph networks with deep dual clustering for session-based recommendation

J Su, C Chen, W Liu, F Wu, X Zheng… - Proceedings of the ACM …, 2023 - dl.acm.org
Session-based Recommendation aims at predicting the next interacted item based on short
anonymous behavior sessions. However, existing solutions neglect to model two inherent …

Hypersorec: Exploiting hyperbolic user and item representations with multiple aspects for social-aware recommendation

H Wang, D Lian, H Tong, Q Liu, Z Huang… - ACM Transactions on …, 2021 - dl.acm.org
Social recommendation has achieved great success in many domains including e-
commerce and location-based social networks. Existing methods usually explore the user …

Hyperbolic deep learning in computer vision: A survey

P Mettes, M Ghadimi Atigh, M Keller-Ressel… - International Journal of …, 2024 - Springer
Deep representation learning is a ubiquitous part of modern computer vision. While
Euclidean space has been the de facto standard manifold for learning visual …

The numerical stability of hyperbolic representation learning

G Mishne, Z Wan, Y Wang… - … Conference on Machine …, 2023 - proceedings.mlr.press
The hyperbolic space is widely used for representing hierarchical datasets due to its ability
to embed trees with small distortion. However, this property comes at a price of numerical …

Hyperbolic matrix factorization improves prediction of drug-target associations

A Poleksic - Scientific Reports, 2023 - nature.com
Past research in computational systems biology has focused more on the development and
applications of advanced statistical and numerical optimization techniques and much less …