Hyperbolic Graph Neural Networks

28 October 2019

Qi Liu

Douwe Kiela

Papers citing "Hyperbolic Graph Neural Networks"

50 / 188 papers shown

Title
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform Huiru Xiao Xin Liu Yangqiu Song Ginny Y. Wong Simon See 14 8 0 07 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 13 7 0 04 Nov 2022
Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces J. Sohn Mingyu Derek Ma Muhao Chen 27 2 0 12 Sep 2022
Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection Yuan Shi 19 0 0 12 Sep 2022
A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning Li Sun Junda Ye Hao Peng Philip S. Yu 26 26 0 30 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 45 373 0 05 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Xiaofeng Cao Weixin Bu Sheng-Jun Huang Minling Zhang Ivor W. Tsang Yew-Soon Ong James T. Kwok 35 1 0 29 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 21 11 0 20 Jul 2022
HICF: Hyperbolic Informative Collaborative Filtering Menglin Yang Zhihao Li Min Zhou Jiahong Liu Irwin King 19 55 0 19 Jul 2022
MCTensor: A High-Precision Deep Learning Library with Multi-Component Floating-Point Tao Yu Wen-Ping Guo Jianan Canal Li Tiancheng Yuan Chris De Sa 22 4 0 18 Jul 2022
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models Ainkaran Santhirasekaram Avinash Kori A. Rockall Mathias Winkler Francesca Toni Ben Glocker FAtt 42 4 0 05 Jul 2022
Geometry Contrastive Learning on Heterogeneous Graphs Shichao Zhu Chuan Zhou Anfeng Cheng Shirui Pan Shuaiqiang Wang Dawei Yin Bin Wang SSL 25 1 0 25 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 30 1 0 06 Jun 2022
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering Eli Chien Puoya Tabaghi O. Milenkovic 18 4 0 19 May 2022
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization Menglin Yang Min Zhou Jiahong Liu Defu Lian Irwin King 16 86 0 18 Apr 2022
Graph Neural Networks Designed for Different Graph Types: A Survey J. M. Thomas Alice Moallemy-Oureh Silvia Beddar-Wiesing Clara Holzhuter 26 29 0 06 Apr 2022
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System Zhirong Xu Shiyang Wen Junshan Wang Guojun Liu Liang Wang ... Lei Ding Yan Zhang Di Zhang Jian Xu Bo Zheng 15 8 0 28 Mar 2022
Qualitative neural network approximation over R and C: Elementary proofs for analytic and polynomial activation Josiah Park Stephan Wojtowytsch 18 1 0 25 Mar 2022
Hyperbolic Image Segmentation Mina Ghadimi Atigh Julian Schoep Erman Acar N. V. Noord Pascal Mettes 37 85 0 11 Mar 2022
Provably Accurate and Scalable Linear Classifiers in Hyperbolic Spaces Chao Pan Eli Chien Puoya Tabaghi Jianhao Peng O. Milenkovic 12 3 0 07 Mar 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications Menglin Yang Min Zhou Zhihao Li Jiahong Liu Lujia Pan Hui Xiong Irwin King 21 52 0 28 Feb 2022
Random Laplacian Features for Learning with Hyperbolic Space Tao Yu Chris De Sa 22 8 0 14 Feb 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 59 23 0 02 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 11 58 0 01 Feb 2022
Autoencoding Hyperbolic Representation for Adversarial Generation Eric Qu Dongmian Zou GAN 33 4 0 30 Jan 2022
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning Jiahong Liu Menglin Yang Min Zhou Shanshan Feng Philippe Fournier-Viger SSL 25 22 0 21 Jan 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning Honglu Zhou Advith Chegu Samuel S. Sohn Zuohui Fu Gerard de Melo Mubbasir Kapadia 29 6 0 22 Dec 2021
Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction Chang-You Tai Ming Li Lun-Wei Ku 16 9 0 16 Dec 2021
A Self-supervised Mixed-curvature Graph Neural Network Li Sun Zhongbao Zhang Junda Ye Hao Peng Jiawei Zhang Sen Su Philip S. Yu SSL 28 33 0 10 Dec 2021
Trivial bundle embeddings for learning graph representations Zheng Xie Xiaojing Zuo Yiping Song 11 0 0 05 Dec 2021
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design Xiran Fan Chun-Hao Yang B. Vemuri 31 18 0 03 Dec 2021
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 41 425 0 29 Nov 2021
Quaternion-Based Graph Convolution Network for Recommendation Yaxing Fang Pengpeng Zhao Guanfeng Liu Yanchi Liu Victor S. Sheng Lei Zhao Xiaofang Zhou GNN 17 2 0 20 Nov 2021
Beltrami Flow and Neural Diffusion on Graphs B. Chamberlain J. Rowbottom D. Eynard Francesco Di Giovanni Xiaowen Dong M. Bronstein AI4CE 32 79 0 18 Oct 2021
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network Xingcheng Fu Jianxin Li Jia Wu Qingyun Sun Cheng Ji Senzhang Wang Jiajun Tan Hao Peng Philip S. Yu 13 32 0 15 Oct 2021
HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning Mingyu Derek Ma Muhao Chen Te-Lin Wu Nanyun Peng 30 22 0 22 Sep 2021
Highly Scalable and Provably Accurate Classification in Poincare Balls Eli Chien Chao Pan Puoya Tabaghi O. Milenkovic 27 12 0 08 Sep 2021
Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers Yunhui Guo Xudong Wang Yubei Chen Stella X. Yu 18 45 0 23 Jul 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space Menglin Yang Min Zhou Marcus Kalander Zengfeng Huang Irwin King 28 121 0 08 Jul 2021
HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Yunan Zhao Bing Han Lin Zheng Kaixin Gao Xiaobo Guo 32 8 0 06 Jul 2021
Privacy-Preserving Representation Learning on Graphs: A Mutual Information Perspective Binghui Wang Jiayi Guo Ang Li Yiran Chen H. Li SSL 17 36 0 03 Jul 2021
Hyperbolic Busemann Learning with Ideal Prototypes Mina Ghadimi Atigh Martin Keller-Ressel Pascal Mettes 25 36 0 28 Jun 2021
Connecting Sphere Manifolds Hierarchically for Regularization Damien Scieur Youngsung Kim 3DH 6 3 0 25 Jun 2021
Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs A. Peysakhovich Anna Klimovskaia Susmel Léon Bottou GNN 17 0 0 17 Jun 2021
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures Sébastien Montella L. Rojas-Barahona Johannes Heinecke 12 27 0 08 Jun 2021
Graph-MLP: Node Classification without Message Passing in Graph Yang Hu Haoxuan You Zhecan Wang Zhicheng Wang Erjin Zhou Yue Gao 16 107 0 08 Jun 2021
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections Ines Chami Albert Gu D. Nguyen Christopher Ré 16 45 0 07 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 30 28 0 06 Jun 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe Yifan Qiao Jon Eyolfson Shen Teng Guanzhou Hu ... Jinliang Wei Keval Vora Ravi Netravali Miryung Kim G. Xu GNN 20 140 0 24 May 2021