Poincaré Embeddings for Learning Hierarchical Representations

22 May 2017

Douwe Kiela

Papers citing "Poincaré Embeddings for Learning Hierarchical Representations"

50 / 160 papers shown

Title
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding Yishi Xu Dongsheng Wang Bo Chen Ruiying Lu Zhibin Duan Mingyuan Zhou 38 20 0 16 Oct 2022
BiaScope: Visual Unfairness Diagnosis for Graph Embeddings Agapi Rissaki Bruno Scarone David Liu Aditeya Pandey Brennan Klein Tina Eliassi-Rad M. Borkin FaML 16 6 0 12 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Rethinking the compositionality of point clouds through regularization in the hyperbolic space Antonio Montanaro D. Valsesia E. Magli 3DPC 44 31 0 21 Sep 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
Design of the topology for contrastive visual-textual alignment Zhun Sun 25 1 0 05 Sep 2022
Learning Hierarchy Aware Features for Reducing Mistake Severity Ashima Garg Depanshu Sani Saket Anand 19 18 0 26 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
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
Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm Berlin Chen Cyrus Mostajeran Salem Said 15 2 0 02 Jul 2022
Ultrahyperbolic Knowledge Graph Embeddings Bo Xiong Shichao Zhu M. Nayyeri Chengjin Xu Shirui Pan Chuan Zhou Steffen Staab 8 31 0 01 Jun 2022
Prototype Based Classification from Hierarchy to Fairness Mycal Tucker J. Shah FaML 14 6 0 27 May 2022
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clustering Eli Chien Puoya Tabaghi O. Milenkovic 18 4 0 19 May 2022
Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation Naicheng Guo Xiaolei Liu Shaoshuai Li Qiongxu Ma Kaixin Gao Bing Han Lin Zheng Xiaobo Guo 29 14 0 16 May 2022
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions Wenjie Zheng Wenxue Wang Shu Zhao Fulan Qian 33 3 0 28 Apr 2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations Nikolaos Nakis Abdulkadir Çelikkanat Sune Lehmann Morten Mørup 16 7 0 12 Apr 2022
Non-linear Embeddings in Hilbert Simplex Geometry Frank Nielsen Ke Sun 19 5 0 22 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan V. Oseledets 25 100 0 21 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 15 3 0 07 Mar 2022
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis Sho Sonoda Isao Ishikawa Masahiro Ikeda 21 15 0 03 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
Contextual Semantic Embeddings for Ontology Subsumption Prediction Jiaoyan Chen Yuan He Yuxia Geng Ernesto Jiménez-Ruiz Hang Dong Ian Horrocks 35 50 0 20 Feb 2022
Moving Other Way: Exploring Word Mover Distance Extensions Ilya Smirnov Ivan P. Yamshchikov 24 1 0 07 Feb 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 59 23 0 02 Feb 2022
Taxonomy Enrichment with Text and Graph Vector Representations Irina Nikishina M. Tikhomirov V. Logacheva Yuriy Nazarov Alexander Panchenko Natalia V. Loukachevitch 17 8 0 21 Jan 2022
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 24 13 0 29 Dec 2021
Dynamically Stable Poincaré Embeddings for Neural Manifolds Jun Chen Yuang Liu Xiangrui Zhao Mengmeng Wang Y. Liu 21 0 0 21 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 30 33 0 10 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
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels Noémie Jaquier Viacheslav Borovitskiy A. Smolensky Alexander Terenin Tamim Asfour Leonel Rozo 19 35 0 02 Nov 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones Yushi Bai Rex Ying Hongyu Ren J. Leskovec 20 58 0 28 Oct 2021
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs Zhanqiu Zhang Jie Wang Jiajun Chen Shuiwang Ji Feng Wu 33 118 0 26 Oct 2021
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 30 17 0 26 Oct 2021
A Broader Picture of Random-walk Based Graph Embedding Zexi Huang A. Silva Ambuj K. Singh 13 49 0 24 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 16 32 0 15 Oct 2021
Neural Distance Embeddings for Biological Sequences Gabriele Corso Rex Ying Michal Pándy Petar Velivcković J. Leskovec Pietro Lió 17 40 0 20 Sep 2021
Highly Scalable and Provably Accurate Classification in Poincare Balls Eli Chien Chao Pan Puoya Tabaghi O. Milenkovic 30 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
Theoretical foundations and limits of word embeddings: what types of meaning can they capture? Alina Arseniev-Koehler 28 19 0 22 Jul 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space Menglin Yang Min Zhou Marcus Kalander Zengfeng Huang Irwin King 33 121 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
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings S. Dasgupta Michael Boratko Siddhartha Mishra Shriya Atmakuri Dhruvesh Patel Xiang Lorraine Li Andrew McCallum NAI 28 21 0 28 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting Martine Toering Ioannis Gatopoulos M. Stol Vincent Tao Hu SSL 30 11 0 18 Jun 2021
Directed Graph Embeddings in Pseudo-Riemannian Manifolds Aaron Sim Maciej Wiatrak Angus Brayne Páidí Creed Saee Paliwal 13 15 0 16 Jun 2021
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction Chang Lu Chandan K. Reddy Yue Ning 22 27 0 09 Jun 2021
Multi-modal Entity Alignment in Hyperbolic Space Haojie Guo Jiuyang Tang Weixin Zeng Xiang Zhao Li Liu 15 45 0 07 Jun 2021