Hyperbolic Graph Neural Networks

28 October 2019

Qi Liu

Douwe Kiela

Papers citing "Hyperbolic Graph Neural Networks"

50 / 188 papers shown

Title
HMamba: Hyperbolic Mamba for Sequential Recommendation Qianru Zhang Honggang Wen Wei Yuan Crystal Chen Menglin Yang S. Yiu Hongzhi Yin Mamba 26 0 0 14 May 2025
Multimodal graph representation learning for website generation based on visual sketch Tung D. Vu Chung Hoang Truong-Son Hy 3DV 56 0 0 25 Apr 2025
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries Neil He Jiahong Liu Buze Zhang N. Bui Ali Maatouk Menglin Yang Irwin King Melanie Weber Rex Ying 29 0 0 11 Apr 2025
Cellular Development Follows the Path of Minimum Action Rohola Zandie Farhan Khodaee Yufan Xia Elazer R. Edelman 49 0 0 10 Apr 2025
Hyperbolic Category Discovery Yuanpei Liu Zhenqi He Kai Han 26 0 0 08 Apr 2025
LGIN: Defining an Approximately Powerful Hyperbolic GNN Srinitish Srinivasan Omkumar CU AI4CE 43 0 0 31 Mar 2025
Hyperbolic Safety-Aware Vision-Language Models Tobia Poppi Tejaswi Kasarla Pascal Mettes Lorenzo Baraldi Rita Cucchiara VLM MU 61 0 0 15 Mar 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 54 0 0 21 Feb 2025
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer Delvin Ce Zhang Menglin Yang Xiaobao Wu Jiasheng Zhang Hady W. Lauw 48 0 0 17 Feb 2025
Multi-Order Hyperbolic Graph Convolution and Aggregated Attention for Social Event Detection Yao Liu Zhilan Liu Tien Ping Tan Yuxin Li 44 0 0 01 Feb 2025
A Geometric Perspective for High-Dimensional Multiplex Graphs K. Abdous Nairouz Mrabah Mohamed Bouguessa 73 0 0 29 Jan 2025
Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks Junliang Luo Xue Liu 29 0 0 21 Jan 2025
Residual Hyperbolic Graph Convolution Networks Yangkai Xue Jindou Dai Zhipeng Lu Yuwei Wu Yunde Jia 77 3 0 05 Dec 2024
Adversarial Attacks on Hyperbolic Networks Max van Spengler Jan Zahálka Pascal Mettes AAML OOD 94 0 0 02 Dec 2024
Spiking Graph Neural Network on Riemannian Manifolds Li Sun Zhenhao Huang Qiqi Wan Hao Peng Philip S. Yu GNN AI4CE 27 1 0 23 Oct 2024
Klein Model for Hyperbolic Neural Networks Yidan Mao Jing Gu Marcus C. Werner Dongmian Zou 24 0 0 22 Oct 2024
From Logits to Hierarchies: Hierarchical Clustering made Simple Emanuele Palumbo Moritz Vandenhirtz Alain Ryser Imant Daunhawer Julia E. Vogt 24 1 0 10 Oct 2024
Siamese networks for Poincaré embeddings and the reconstruction of evolutionary trees Ciro Carvallo Hernán Bocaccio G. Mindlin Pablo Groisman 26 0 0 09 Oct 2024
Compositional Entailment Learning for Hyperbolic Vision-Language Models Avik Pal Max van Spengler Guido Maria DÁmely di Melendugno Alessandro Flaborea Fabio Galasso Pascal Mettes CoGe 42 5 0 09 Oct 2024
Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action Recognition Xinpeng Yin Wenming Cao 43 0 0 26 Sep 2024
Seg-HGNN: Unsupervised and Light-Weight Image Segmentation with Hyperbolic Graph Neural Networks Debjyoti Mondal Rahul Mishra Chandan Pandey 29 0 0 10 Sep 2024
Representation Learning of Geometric Trees Zheng Zhang Allen Zhang Ruth Nelson Giorgio Ascoli Liang Zhao 26 0 0 16 Aug 2024
Hyperbolic Learning with Multimodal Large Language Models Paolo Mandica Luca Franco Konstantinos Kallidromitis Suzanne Petryk Fabio Galasso 44 1 0 09 Aug 2024
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization Yifei Yang Wonjun Lee Dongmian Zou Gilad Lerman 32 2 0 15 Jul 2024
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection Yali Fu Jindong Li Jiahong Liu Qianli Xing Qi Wang Irwin King 45 2 0 02 Jul 2024
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs Qijie Bai Changli Nie Haiwei Zhang Zhicheng Dou Xiaojie Yuan 43 0 0 14 Jun 2024
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering Zhe Yang Wenrui Li Guanghui Cheng Mamba 23 0 0 14 Jun 2024
Matrix Manifold Neural Networks++ Xuan Son Nguyen Shuo Yang A. Histace 32 5 0 29 May 2024
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks Jialin Zhao Yingtao Zhang Xinghang Li Huaping Liu C. Cannistraci 28 1 0 24 May 2024
Hyperbolic Geometric Latent Diffusion Model for Graph Generation Xingcheng Fu Yisen Gao Yuecen Wei Qingyun Sun Hao Peng Jianxin Li Xianxian Li 31 4 0 06 May 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification Qiuyu Liang Weihua Wang F. Bao Guanglai Gao 32 7 0 10 Mar 2024
Three Revisits to Node-Level Graph Anomaly Detection: Outliers, Message Passing and Hyperbolic Neural Networks Jing Gu Dongmian Zou 32 3 0 06 Mar 2024
Graph Learning with Distributional Edge Layouts Xinjian Zhao Chaolong Ying Tianshu Yu 25 0 0 26 Feb 2024
Why are hyperbolic neural networks effective? A study on hierarchical representation capability Shicheng Tan Huan-jing Zhao Shu Zhao Yanping Zhang 25 0 0 04 Feb 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 30 3 0 25 Jan 2024
DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing Li Sun Zhenhao Huang Hua Wu Junda Ye Hao Peng Zhengtao Yu Philip S. Yu 31 11 0 23 Jan 2024
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces Li Sun Junda Ye Jiawei Zhang Yong Yang Mingsheng Liu Feiyang Wang Philip S. Yu 42 5 0 02 Jan 2024
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun Zhenhao Huang Zixi Wang Feiyang Wang Hao Peng Philip Yu 29 16 0 02 Jan 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding Yuecen Wei Haonan Yuan Xingcheng Fu Qingyun Sun Hao Peng Xianxian Li Chunming Hu 28 3 0 19 Dec 2023
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition Sijie Wang Rui She Qiyu Kang Xingchao Jian Kai Zhao Yang Song Wee Peng Tay 21 7 0 17 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Improving embedding of graphs with missing data by soft manifolds Andrea Marinoni Pietro Lio' Alessandro Barp Christian Jutten M. Girolami 21 0 0 29 Nov 2023
Over-Squashing in Riemannian Graph Neural Networks Julia Balla 25 0 0 27 Nov 2023
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading) Qiange Wang Yao Chen Weng-Fai Wong Bingsheng He GNN 18 9 0 25 Nov 2023
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 37 4 0 23 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 36 2 0 03 Oct 2023
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho Seunghyuk Cho Sungwoo Park Hankook Lee Ho Hin Lee Moontae Lee 29 6 0 08 Sep 2023
Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction Zhiying Leng Shun-cheng Wu Mahdi Saleh Antonio Montanaro Hao Yu Yin Wang Nassir Navab Xiaohui Liang Federico Tombari 3DH 26 7 0 06 Sep 2023
Knowledge-based Multiple Adaptive Spaces Fusion for Recommendation Meng Yuan Fuzhen Zhuang Zhao Zhang Deqing Wang Jin Dong 34 3 0 29 Aug 2023
Hyperbolic Random Forests Lars Doorenbos Pablo Márquez-Neila Raphael Sznitman Pascal Mettes 18 5 0 25 Aug 2023