Introduction

Recently, hyperbolic spaces have emerged as a promising alternative for processing data with a tree-like structure or power-law distribution, owing to its exponential growth property and tree-likeness prior. Different from the Euclidean space, which expands polynomially, the hyperbolic space grows exponentially which makes it gain natural advantages in abstracting tree-like or scale-free data with hierarchical organizations. In this repository, we organize papers into core methods, domain applications, and cross-domain task settings to make the taxonomy easier to navigate. We will keep updating this repository with the latest research developments. We are aware that there will inevitably be some mistakes and oversights, so if you have any questions or suggestions, please feel free to contact us (menglin.yang[@]outlook.com).

1. Latest Update
2. Core Methods and Geometry
2.1 Hyperbolic Shallow Models and Embeddings	2.2 Hyperbolic Neural Networks
2.3 Hyperbolic Graph Neural Networks	2.4 Attention, Transformers, and Sequence Models
2.5 Theory, Analysis, and Numerical Stability	2.6 Hierarchy and Tree Modeling
2.7 Mixed-Curvature and Alternative Geometries	2.8 Hyperbolic Generative Models
2.9 Hyperbolic Classifiers and Decision Models	2.10 Hyperbolic Operations and Representation Utilities
2.11 LLMs and Foundation Models
3. Domain Applications
3.1 Language and Text Applications	3.2 Computer Vision, Graphics, and Robotics
3.3 Graphs and Networked Data	3.4 Recommender Systems
3.5 Knowledge Graphs	3.6 Biology and Molecular Learning
3.7 Code Representation	3.8 Education and Learning Analytics
4. Task-Oriented Settings
4.1 Multi-label and Hierarchical Classification	4.2 Metric Learning, Retrieval, and Clustering
4.3 Data-Driven Geometry Learning and Adaptation	4.4 Few-Shot and Low-Data Learning
4.5 Open-Vocabulary, Zero-Shot, and Category Discovery	4.6 Safety, Robustness, and Privacy
4.7 Environmental Monitoring	4.8 Multi-Criteria Learning

Hyperbolic Slack Group

• Slack: https://join.slack.com/t/hyperboliclearning/shared_invite/zt-1qcqgtwfr-HpsRSzDhvkAEal6dOnKDvA
• Website: https://hyperboliclearning.github.io/collection

Latest Update

• July 28, 2026: add ACL Findings 2026 paper
• July 18, 2026: add ACL 2026, KDD 2026, MIDL 2026 papers 🔥
• June 2, 2026: add CVPR 2026, AAAI 2026, IJCAI-ECAI 2026 papers 🔥
• May 22, 2026: add AISTATS 2026, ICML 2026, WSDM 2026 papers 🔥
• May 2, 2026: update WACV 2026, COLING 2025, ACL Findings 2025, TheWebConf 2026, SIGIR 2026 papers
• April 17, 2026: add WACV 2026, ICLR 2026, ACL Findings 2025, COLING 2025 papers
• March 11, 2026: add EMNLP 2025, WSDM 2025, RecSys 2025, AISTATS 2025, LoG 2025 papers
• March 7, 2026: add ICLR 2026, CVPR 2026 papers
• December 17, 2025: add NeurIPS 2025, AAAI 2026 papers
• August 17, 2025: add ICCV 2025 papers
• Jun 10, 2025 : add ICML 2025, ICML 2024 papers
• Jun 7, 2025 : update CVPR 2025, SIGIR 2025, ACL 2025 paper
• Feb 26, 2025 : update ICLR 2025 papers
• Dec 29, 2024 : update NeurIPS 2024 papers
• Dec 16, 2024 : add NeurIPS 2024 papers
• Sept 8, 2024 : add ICML 2024, KDD 2024, WWW 2024, SIGIR 2024, ICDE 2024, CVPR 2024 papers

AISTATS 2026

1. Hyperbolic Learning with Supervision from any Granularity, AISTATS 2026
   Mina GhadimiAtigh, Max van Spengler, Teng Long, Melika Ayoughi, Tejaswi Kasarla, Pascal Mettes

2. Ergodic and Subhomogeneous Dynamics in Hyperbolic Neural Networks, AISTATS 2026
   Nico Alvarado, Sebastian Burgos

3. Hyperbolic Part-Whole Image Segmentation, AISTATS 2026
   Mikhail Vlasenko, Mina GhadimiAtigh, Pascal Mettes

WACV 2026

1. Lorentz Entailment Cone for Semantic Segmentation, WACV 2026
   Zahid Hasan, Masud Ahmed, Nirmalya Roy

2. Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care, WACV 2026
   Ke Nan, Maggie Samaan, Benjamin Burns, Xia Ning, Yuchi Han, Yuan Xue

CVPR 2026

1. Hyperbolic Prototype Learning with Uncertainty-Aware Consistency for Continual Test-Time Segmentation, CVPR 2026
   Siddhant Gole, Akash Pal, Amit More, S Divakar Bhat, Subhasis Chaudhuri, Biplab Banerjee

2. GeoWorld: Geometric World Models, CVPR 2026
   Zeyu Zhang, Danning Li, Ian Reid, Richard Hartley

3. HiTag: Hierarchical Image Tagging with Hyperbolic Vision-Language Modeling, CVPR 2026
   Yi Yang, Ziyue Peng, Kang Zhang, Xincheng Tan, Fan Lu, Jingting Ding, Kecheng Zheng, Minfeng Zhu, Wei Chen

4. HypeVPR: Exploring Hyperbolic Space for Perspective to Equirectangular Visual Place Recognition, CVPR 2026
   Suhan Woo, Seongwon Lee, Jinwoo Jang, Euntai Kim

5. Learning Hierarchical Hyperbolic Mixture Model for Part-aware 3D Generation, CVPR 2026
   Qitong Yang, Mingtao Feng, Zijie Wu, Huixin Zhu, Weisheng Dong, Yaonan Wang, Ajmal Mian

6. Hyperbolic Relational Prompts for Intersectional Fairness in Medical VLMs, CVPR 2026
   Jiayu Qian, Zongxian Yang, Guanxing Chen, Pengwei Hu, KC Tan, Yan Wang, Yu-An Huang, Zhi-An Huang

7. HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction, CVPR 2026
   Chen Zhang, Yilu An, Ying Chen, Hao Li, Xitong Ling, Lihao Liu, Junjun He, Yuxiang Lin, Zihui Wang, Rongshan Yu

8. Hyperbolic Defect Feature Synthesis for Few-Shot Defect Classification, CVPR 2026
   Huimin Li, Boxuan Hu, Yulin Zhang, Xiuzhuang Zhou, Junlin Hu

9. H2-Surv: Hierarchical Hyperbolic Multimodal Representation Learning for Survival Prediction, CVPR 2026
   Jiaqi Yang, Wenting Chen, Xiangjian He, Yuanbai Li, Sen Yang, Linlin Shen, Xiaohan Xing

10. Hyperbolic Gramian Volumes for Multimodal Alignment, CVPR 2026
    Saiyang Na, Feng Jiang, Qifeng Zhou, Wenliang Zhong, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Chunyuan Li, Weizhi An, Junzhou Huang

11. Hyperbolic Busemann Neural Networks, CVPR 2026
    Ziheng Chen, Bernhard Schölkopf, Nicu Sebe

12. Uncertainty-guided Compositional Alignment with Part-to-Whole Semantic Representativeness in Hyperbolic Vision-Language Models, CVPR 2026
    Hayeon Kim, Ji Ha Jang, Junghun James Kim, Se Young Chun

ICLR 2026

1. Understanding and Improving Hyperbolic Deep Reinforcement Learning, ICLR 2026 Poster
   Timo Klein, Thomas Lang, Andrii Shkabrii, Alexander Sturm, Kevin Sidak, Lukas Miklautz, Claudia Plant, Yllka Velaj, Sebastian Tschiatschek

2. PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification, ICLR 2026 Poster
   Kun Xie, Peng Zhou, Xingyi Zhang, Wei Liu, Peilin Zhao, Sibo Wang, Biaobin Jiang

3. The Natural Geometry of Code: Hyperbolic Representation Learning for Program Reasoning, ICLR 2026 Poster
   Weilin Zhou

4. Intrinsic Lorentz Neural Network, ICLR 2026 Poster
   Xianglong Shi, Ziheng Chen, Yunhan Jiang, Nicu Sebe

5. PHyCLIP: $\ell_1$-Product of Hyperbolic Factors Unifies Hierarchy and Compositionality in Vision-Language Representation Learning, ICLR 2026 Poster
   Daiki Yoshikawa, Takashi Matsubara

ICML 2026

1. Asymmetric Multi-View Clustering with Hyperbolic Uncertainty Modeling, ICML 2026
   Yiming Wang, Qun Li, Dongxia Chang, Jie Wen, Hua Dai, Fu Xiao

2. EEG-Based Multimodal Learning via Hyperbolic Mixture-of-Curvature Experts, ICML 2026
   Runhe Zhou, Shanglin Li, Guanxiang Huang, Xinliang Zhou, Qibin Zhao, Motoaki Kawanabe, Yi Ding, Cuntai Guan

3. FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space, ICML 2026
   Jiahong Liu, Ram Samarth B B, Xinyu Fu, Menglin Yang, Weixi Zhang, ZHITAO YING, Irwin King

4. HVAE: Hyperbolic Variational Autoencoder For Flexible Knowledge Transfer Across Multiple Domains, ICML 2026
   Xiaolei Liu, Binfeng Wang, Kaixin Gao, Shaoshuai Li

5. HypCL: Adapting CLIP in Hyperbolic Space for Continual Learning, ICML 2026
   Quan Cheng, Hao Yu, Da-Wei Zhou, Lijun Zhang

6. Hyperbolic Associative Memory Networks, ICML 2026
   Boliang Hao, Bailing Zhang, Fangyu Wu

7. Hyperbolic Hierarchical Alignment for Video-Based Visible-Infrared Person Re-Identification, ICML 2026
   Shuang Li, Changjiang Kuang, Jiaxu Leng, Mingpi Tan, Zhanjie Wu, Shuanglin Yan, Xinbo Gao

8. Hyperbolic Multimodal Continual Learning, ICML 2026
   Jiahong Liu, Ming Shen, Xiaohao Liu, ZHITAO YING, Menglin Yang, Tat-Seng Chua, Irwin King

9. Hyperbolic Neural Operator, ICML 2026
   jieyuan pei, Zhuoxuan Li, Wei Li, Haobo Zhang, jiawei jiang, Jianwei Zheng

10. Hyperbolic RQ-VAE enhanced Generative Recommendation with Differential-Length Codebook Strategy, ICML 2026
    Aoran Zhang, Yu-Bin Yang, Yonghong Yu

11. Hyper-ICL: Attention Calibration with Hyperbolic Anchor Distillation for Multimodal In-Context Learning, ICML 2026
    Niloufar Alipour Talemi, Hossein Kashiani, Fatemeh Afghah

12. Hyper-LLaVA: Hyperbolic Uncertainty-aware Modality-Balanced Routing for Multimodal Continual Instruction Tuning, ICML 2026
    Kunlun Xu, YanQin Zhang, Wenwen Qiang, Jiahuan Zhou

13. HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation, ICML 2026
    Hiren Madhu, Ngoc Bui, Ali Maatouk, Leandros Tassiulas, Smita Krishnaswamy, Menglin Yang, Sukanta Ganguly, Kiran Srinivasan, ZHITAO YING

14. Klein Hyperbolic Metric Learning, ICML 2026
    Yulin Zhang, Boxuan Hu, Huimin Li, Junlin Hu

15. Learning Attribute–Affordance Hierarchies in Hyperbolic Space for Open-Vocabulary 3D Object Affordance Grounding, ICML 2026
    Yuxuan Wang, Tong Li, Yihang Zhu, Guangtao Lyu, Yukuan Min, Chenghao Xu, Jiexi Yan, Xu Yang, Cheng Deng

16. Path-Decoupled Hyperbolic Flow Matching for Few-Shot Adaptation, ICML 2026
    Lin Li, Ziqi Jiang, Gefan Ye, Zhenqi He, Jiahui Li, Jun Xiao, Kwang-Ting Cheng, Long Chen

17. PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification, ICML 2026
    Xinxing Yu, Liying Yang, Hao Mo, Hui Ma, Fang Kai, Ajian Liu, Yanyan Liang

18. SkelHCC: A Hyperbolic CLIP-Driven Cache Adaptation Framework for Skeleton-based One-Shot Action Recognition, ICML 2026
    Yanan Liu, Anqi Zhu, Jingmin Zhu, Jun Liu, Hossein Rahmani, Mohammed Bennamoun, Farid Boussaid, Dan Xu, Qiuhong Ke

19. Text-Driven Fusion for Infrared and Visible Images: Achieving Image Scene Adaptation on Hyperbolic Space, ICML 2026
    Huan Kang, Hui Li, Tianyang Xu, Tao Zhou, Xiaojun Wu, Josef Kittler

MIDL 2026

1. Hyperbolic U-Net for Robust Medical Image Segmentation, MIDL 2026
   Swasti S. Mishra, Max van Spengler, Erwin Berkhout, Pascal Mettes

ACL 2026

1. Beyond Single-View Detection: A Dual-Space Reasoning Framework for Interpretable Harmful Meme Understanding, ACL 2026
   Wenqing Hou, Hongkui Tu, Ye Wang, Yue Zhang, Yuying Liu, Dong Zhu, Liqun Gao, Bin Zhou

2. TellWhisper: Tell Whisper Who Speaks When, ACL 2026
   Yifan Hu, Peiji Yang, Zhisheng Wang, Yicheng Zhong, Rui Liu

3. Query-Aware Knowledge Retrieval via Hyperbolic Structuring, ACL 2026
   Chuang Zhou, Junnan Dong, Yilin Xiao, Shengyuan Chen, Su Dong, di Yin, Xing Sun, Zhaozhuo Xu, Xiao Huang

4. MAGIC: Deep Geometric Evolution with Structural Consensus for Temporal Knowledge Graph Reasoning, ACL 2026
   Chengao Liu, Yuan Li, Yingze Wang, Jianbin Jiao

5. Prosody as Supervision: Bridging the Non-Verbal–Verbal for Multilingual Speech Emotion Recognition, ACL 2026
   Girish, Mohd Mujtaba Akhtar, Muskaan Singh

6. LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz Transport, ACL 2026
   Zekun Wang, Jingjie Zeng, Yingxu Li, Hongfei Lin, Liang Yang

ACL Findings 2026

1. HypEHR: Hyperbolic Modeling of Electronic Health Records for Efficient Question Answering, Findings of ACL 2026
   Yuyu Liu, Sarang Rajendra Patil, Mengjia Xu, Tengfei Ma

KDD 2026

1. Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective, KDD 2026
   Yuecen Wei, Liu Yang, Beining Yang, Qingyun Sun, Hao Peng, Tianyu Wo, Chunming Hu, Xingcheng Fu

2. Generalizing Graph Foundation Models via Hyperbolic Retrieval-Augmented Generation, KDD 2026
   Yifan Jin, Qirui Ji, Bin Qin, Jiangmeng Li, Lixiang Liu, Fuchun Sun, Changwen Zheng

NeurIPS 2025

1. HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts, NeurIPS 2025
   Neil He, Rishabh Anand, Hiren Madhu, Ali Maatouk, Smita Krishnaswamy, Leandros Tassiulas, Menglin Yang, Rex Ying

2. Hyperbolic Fine-Tuning for Large Language Models, NeurIPS 2025 (Spotlight)
   Menglin Yang, Ram Samarth B B, Aosong Feng, Bo Xiong, Jiahong Liu, Irwin King, Rex Ying

3. HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models, NeurIPS 2025 (Oral)
   Zelin Peng, Zhengqin Xu, Qingyang Liu, Xiaokang Yang, Wei Shen

4. Hyperbolic Dataset Distillation, Code, NeurIPS 2025
   Wenyuan Li, Guang Li, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

5. Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation, Code, NeurIPS 2025
   Edward Fish, Richard Bowden

NeurIPS 2025 Workshop

1. Hyperbolic Multimodal Representation Learning for Biological Taxonomies, NeurIPS 2025 Workshop on Imageomics
   ZeMing Gong, Chuanqi Tang, Xiaoliang Huo, Nicholas Pellegrino, Austin T. Wang, Graham W. Taylor, Angel X. Chang, Scott C. Lowe, Joakim Bruslund Haurum

2. Hyperbolic Few-Shot Learning for Taxonomic Plant Classification, NeurIPS 2025 Workshop on Imageomics
   Mithil Shah

AAAI 2026

1. Learning Protein–Ligand Binding in Hyperbolic Space, AAAI 2026
   Jianhui Wang, Wenyu Zhu, Bowen Gao, Xin Hong, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan

2. Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks, AAAI 2026
   Minsoo Jo, Dongyoon Yang, Taesup Kim

3. HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment, AAAI 2026
   Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, Heung-Il Suk

4. Hyperbolic Hierarchical Alignment Reasoning Network for Text-3D Retrieval, AAAI 2026
   Wenrui Li, Yidan Lu, Yeyu Chai, Rui Zhao, Hengyu Man, Xiaopeng Fan

5. Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space, AAAI 2026
   Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu

6. Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation, AAAI 2026
   Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Xuhui Fan, Qiang Ni, Xuyun Zhang, Yang Zhang, Yuan Tian, Amin Beheshti

7. FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding, AAAI 2026
   Zehua Duo, Jiang Li, Xiangdong Su, Guanglai Gao

8. Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces, AAAI 2026
   Leping Si, Meimei Yang, Hui Xue, Shipeng Zhu, Pengfei Fang

9. Wasserstein-Aligned Hyperbolic Multi-View Clustering, AAAI 2026
   Rui Wang, Yuting Jiang, Xiaoqing Luo, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen

10. Hyperbolic Continuous Structural Entropy for Hierarchical Clustering, AAAI 2026
    Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu

IJCAI-ECAI 2026

1. HiCD: Hyperbolic Insight Through Decomposed Educational Graphs for Long-Tailed Cognitive Diagnosis, IJCAI-ECAI 2026
   Shengwei Ji, Wenli Wang, Yongqiang Xie, Fei Liu, Yonghui Yang

TheWebConf 2026

1. SLFM: Semi-Supervised Local Community Detection Based on Hyperbolic Flow Matching, TheWebConf 2026
   Haixu Xiong, Li Sun, Yun Xiong, Suyang Zhou, Hongrun Ren, Yangyong Zhu

2. C-HyPOD: Causal Hyperbolic Learning with Prototype Orthogonal Disentanglement for Graph Out-of-Distribution Recommendation, TheWebConf 2026
   Jiahao Liang, Yutian Xiao, Haoran Yang, Zhiwen Yu, Jia-Nan Liu, Kaixiang Yang

3. Hyperbolic Multimodal Generative Representation Learning for Generalized Zero-Shot Multimodal Information Extraction, TheWebConf 2026
   Baohang Zhou, Kehui Song, Rize Jin, Yu Zhao, Xuhui Sui, Xinying Qian, Xingyue Guo, Ying Zhang

SIGIR 2026

1. HALO: Hyperbolic Adaptation via LoRA Overlay for Hierarchy-Aware Cross-Modal Retrieval, SIGIR 2026 (Short Paper)
   Teng Long, Andrew Yates

WSDM 2026

1. PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning, WSDM 2026
   Ye Qin, Jingchao Wang, Yang Shi, Haiying Huang, Junxu Li, Weijian Liu, Tinghui Chen, Jinghui Qin

EMNLP 2025

1. HyperKGR: Knowledge Graph Reasoning in Hyperbolic Space with Graph Neural Network Encoding Symbolic Path, EMNLP 2025
   Lihui Liu

EMNLP Findings 2025

1. Exploring Hyperbolic Hierarchical Structure for Multimodal Rumor Detection, Findings of EMNLP 2025
   Md Mahbubur Rahman, Shufeng Hao, Chongyang Shi, An Lao, Jinyan Liu

2. Human-Inspired Obfuscation for Model Unlearning: Local and Global Strategies with Hyperbolic Representations, Findings of EMNLP 2025
   Zekun Wang, Jingjie Zeng, Yingxu Li, Liang Yang, Hongfei Lin

WSDM 2025

1. Review-Based Hyperbolic Cross-Domain Recommendation, WSDM 2025
   Yoonhyuk Choi, Jiho Choi, Taewook Ko

RecSys 2025

1. Learning geometry-aware recommender systems with manifold regularization, RecSys 2025 (LBR)
   Zaira Zainulabidova, Julia Borisova, Alexander Hvatov

2. Leveraging Geometric Insights in Hyperbolic Triplet Loss for Improved Recommendations, RecSys 2025 (LBR)
   Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov

AISTATS 2025

1. Knowledge Graph Completion with Mixed Geometry Tensor Factorization, AISTATS 2025
   Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov

2. Hyperbolic Prototypical Entailment Cones for Image Classification, AISTATS 2025
   Samuele Fonio, Roberto Esposito, Marco Aldinucci

3. Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation, AISTATS 2025
   Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

4. Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space, AISTATS 2025
   Alex Chen, Philippe Chlenski, Kenneth Munyuza, Antonio Khalil Moretti, Christian A. Naesseth, Itsik Pe'er

LoG 2025

1. Hyperbolic Kernel Convolution: A Generic Framework, LoG 2025
   Eric Qu, Lige Zhang, Habib Debaya, Yue Wu, Dongmian Zou

KDD 2025

1. Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning, KDD 2025
   Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz

2. Lorentzian Residual Neural Networks, KDD 2025
   Neil He, Menglin Yang, Rex Ying

3. Hyperbolic Deep Learning for Foundation Models: A Survey, KDD 2025
   Neil He, Hiren Madhu, Ngoc Bui, Menglin Yang, Rex Ying

ICCV 2025

1. Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning, Code, ICCV 2025,
   Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen

2. HypDAE: Hyperbolic Diffusion Autoencoders for Hierarchical Few-shot Image Generation, ICCV 2025
   Lingxiao Li, Kaixuan Fan, Boqing Gong, Xiangyu Yue

3. Learning Visual Hierarchies in Hyperbolic Space for Image Retrieval, ICCV 2025
   Ziwei Wang, Sameera Ramasinghe, Chenchen Xu, Julien Monteil, Loris Bazzani, Thalaiyasingam Ajanthan

4. Riemannian-Geometric Fingerprints of Generative Models, ICCV 2025
   Hae Jin Song, Laurent Itti

ICML 2025

1. Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations, ICML 2025
   Juwei Yue, Haikuo Li, Jiawei Sheng, Xiaodong Li, Taoyu Su, Tingwen Liu, Li Guo

2. Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks, ICML 2025
   Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Cannistraci

3. Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space, ICML 2025
   Max van Spengler, Pascal Mettes

4. Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning, ICML 2025 \ Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Zhitao Ying, Neil Shah, Tong Zhao

5. Hyperbolic Graph Transformer for Collaborative Filtering, ICML 2025
   Yang Xin, Xingrun Li, Heng Chang, Yang Jinze, Xihong Yang, Shengyu Tao, Maiko Shigeno, Ningkang Chang, Junfeng Wang, Dawei Yin, Erxue Min

6. Mixed-Curvature Decision Trees and Random Forests, ICML 2025
   Philippe Chlenski, Quentin Chu, Raiyan Khan, Kaizhu Du, Antonio Moretti, Itsik Pe'er

7. A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver, ICML 2025
   Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew Soon Ong

8. Curvature-aware Graph Attention for PDEs on Manifolds, ICML 2025
   Yunfeng Liao, Jiawen Guan, Xiucheng Li

CVPR2025

1. Hyperbolic Category Discovery, CVPR 2025
   Yuanpei Liu, Zhenqi He, Kai Han

2. Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation, CVPR 2025
   Zelin Peng, Zhengqin Xu, Zhilin Zeng, Changsong Wen, Yu Huang, Menglin Yang, Feilong Tang, Wei Shen

3. Hyperbolic Safety-Aware Vision-Language Models, CVPR 2025
   Tobia Poppi, Tejaswi Kasarla, Pascal Mettes, Lorenzo Baraldi, Rita Cucchiara

4. Hyperbolic Uncertainty-Aware Few-Shot Incremental Point Cloud Segmentation, CVPR 2025
   Tanuj Sur, Samrat Mukherjee, Kaizer Rahaman, Subhasis Chaudhuri, Muhammad Haris Khan, Biplab Banerjee

5. Deep Change Monitoring: A Hyperbolic Representative Learning Framework and a Dataset for Long-term Fine-grained Tree Change Detection, CVPR 2025
   Yante Li, Hanwen Qi, Haoyu Chen, Liang Xinlian, Guoying Zhao

COLING 2025

1. Graph Representation Learning in Hyperbolic Space via Dual-Masked, COLING 2025
   Rui Gong, Zuyun Jiang, Daren Zha

2. Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction, COLING 2025
   Biao Hu, Zhen Huang, Minghao Hu, Pinglv Yang, Peng Qiao, Yong Dou, Zhilin Wang

3. Jump To Hyperspace: Comparing Euclidean and Hyperbolic Loss Functions for Hierarchical Multi-Label Text Classification, COLING 2025
   Jens Van Nooten, Walter Daelemans

4. HYDEN: Hyperbolic Density Representations for Medical Images and Reports, COLING 2025
   Zhi Qiao, Linbin Han, Xiantong Zhen, Jiahong Gao, Zhen Qian

ACL Findings 2025

1. Multi-Hop Reasoning for Question Answering with Hyperbolic Representations, Findings of ACL 2025
   Simon Welz, Lucie Flek, Akbar Karimi

2. Lifelong Model Editing with Graph-Based External Memory, Findings of ACL 2025
   Yash Kumar Atri, Ahmed Alaa, Thomas Hartvigsen

SIGIR 2025

1. VoRec: Enhancing Recommendation with Voronoi Diagram in Hyperbolic Space, SIGIR 2025
   Yong Chen, Li Li, Wei Peng, Songzhi Su

2. Large Language Models Enhanced Hyperbolic Space Recommender Systems, SIGIR 2025
   Wentao Cheng, Zhida Qin, Zexue Wu, Pengzhan Zhou, Tianyu Huang

3. Hyperbolic Multi-Criteria Rating Recommendation, SIGIR 2025
   Zhihao Guo, Ting Han, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang

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ICLR 2025

1. Compositional Entailment Learning for Hyperbolic Vision-Language Models, ICLR 2025
   Avik Pal, Max van Spengler, Guido Maria D'Amely di Melendugno, Alessandro Flaborea, Fabio Galasso, Pascal Mettes

2. Hyperbolic Genome Embeddings, ICLR 2025
   Raiyan R. Khan, Philippe Chlenski, Itsik Pe'er

3. Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy, ICLR 2025
   Ya-Wei Eileen Lin, Ronald R. Coifman, Gal Mishne, Ronen Talmon

4. Gyrogroup Batch Normalization, ICLR 2025
   Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

5. Spectro-Riemannian Graph Neural Networks, ICLR 2025
   Karish Grover, Haiyang Yu, Xiang song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos

NeurIPS 2024

1. Learning Structured Representations with Hyperbolic Embeddings, NeurIPS 2024
   Aditya Sinha, Siqi Zeng, Makoto Yamada, Han Zhao

2. Hyperbolic Embeddings of Supervised Models, NeurIPS 2024, Slides
   Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred Warmuth

3. Language Models as Hierarchy Encoders, NeurIPS 2024
   Yuan He, Zhangdie Yuan, Jiaoyan Chen, Ian Horrocks

4. Non-Euclidean Mixture Model for Social Network Embedding, NeurIPS 2024
   Roshni G. Iyer, Yewen Wang, Wei Wang, Yizhou Sun

ICML 2024

1. Hyperbolic Active Learning for Semantic Segmentation under Domain Shift, ICML 2024
   Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso

2. Hyperbolic Geometric Latent Diffusion Model for Graph Generation, ICML 2024
   Xingcheng Fu · Yisen Gao · Yuecen Wei · Qingyun Sun · Hao Peng · Jianxin Li · Xianxian Li

3. Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds, ICML 2024
   Noémie Jaquier, Leonel Rozo, Miguel González-Duque, Viacheslav Borovitskiy, Tamim Asfour

4. Hyperbolic Optimizer as a Dynamical System, ICML 2024
   Nico Alvarado, Hans Lobel

KDD 2024

1. Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space, KDD 2024
   Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

2. Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space, KDD 2024
   Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li

3. Improving Robustness of Hyperbolic Neural Networks by Lipschitz Analysis, KDD 2024
   Yuekang Li*, Yidan Mao*, Yifei Yang, Dongmian Zou

WWW 2024

1. An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space, WWW 2024
   Zitai Qiu. Congbo Ma, Jia Wu. Jian Yang

ICLR 2024

1. Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design, ICLR 2024
   Heng Dong, Junyu Zhang, Chongjie Zhang

2. Fully Hyperbolic Convolutional Neural Networks for Computer Vision, ICLR 2024
   Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr

3. Fast Hyperboloid Decision Tree Algorithms, ICLR 2024
   Philippe Chlenski, Ethan Turok, Antonio Moretti, Itsik Pe'er

4. Shadow Cones: A Generalized Framework for Partial Order Embeddings, ICLR 2024
   Tao Yu, Toni J.B. Liu, Albert Tseng, Christopher De Sa

SIGIR 2024

1. MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasonin, SIGIR 2024
   Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara and Tarek Abdelzaher

ICDE 2024

1. Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation, ICDE 2024
   Yanchao Tan, Hang Lv, Zihao Zhou, Wenzhong Guo, Bo Xiong, Weiming Liu, Chaochao Chen, Shiping Wang, Carl Yang

CVPR 2024

1. Rethinking Generalizable Face Anti-spoofing via Hierarchical Prototype-guided Distribution Refinement in Hyperbolic Space, CVPR 2024
   Chengyang Hu, Ke-Yue Zhang, Taiping Yao, Shouhong Ding, Lizhuang Ma

2. Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping, CVPR 2024
   Hyeongjun Kwon, Jinhyun Jang, Jin Kim, Kwonyoung Kim, Kwanghoon Sohn

3. Hyperbolic Learning with Synthetic Captions for Open-World Detection, CVPR 2024
   Fanjie Kong, Yanbei Chen, Jiarui Cai, Davide Modolo

4. Hyperbolic Anomaly Detection, CVPR 2024
   Huimin Li, Zhentao Chen, Yunhao Xu, Junlin Hu

5. Accept the Modality Gap: An Exploration in the Hyperbolic Space, CVPR 2024
   Sameera Ramasinghe Violetta Shevchenko Gil Avraham Ajanthan Thalaiyasingam

6. G^3-LQ: Marrying Hyperbolic Alignment with Explicit Semantic-Geometric Modeling for 3D Visual Grounding, CVPR 2024
   Yuan Wang, Yali Li, Shengjin Wang