Poincaré Embeddings for Learning Hierarchical Representations

22 May 2017

Douwe Kiela

Papers citing "Poincaré Embeddings for Learning Hierarchical Representations"

50 / 151 papers shown

Title
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation Shengyin Sun Chen Ma 37 2 0 13 May 2025
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation Boris Kriuk Matey Yordanov 35 0 0 02 May 2025
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception Haosheng chen Lian Luo Mengjingcheng Mo Zhanjie Wu Guobao Xiao Ji Gan Jiaxu Leng Xinbo Gao 27 0 0 23 Apr 2025
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 32 1 0 02 Apr 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Y. Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 37 0 0 23 Mar 2025
Machine Unlearning in Hyperbolic vs. Euclidean Multimodal Contrastive Learning: Adapting Alignment Calibration to MERU Àlex Pujol Vidal Sergio Escalera Kamal Nasrollahi T. Moeslund MU 61 0 0 19 Mar 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 82 3 0 24 Feb 2025
Predicate Hierarchies Improve Few-Shot State Classification Emily Jin Joy Hsu Jiajun Wu OffRL 77 0 0 18 Feb 2025
Variational Combinatorial Sequential Monte Carlo for Bayesian Phylogenetics in Hyperbolic Space Alex Chen Philipe Chlenski Kenneth Munyuza A. Moretti C. A. Naesseth I. Pe’er 44 0 0 29 Jan 2025
A Geometric Perspective for High-Dimensional Multiplex Graphs K. Abdous Nairouz Mrabah Mohamed Bouguessa 73 0 0 29 Jan 2025
State Space Models for Extractive Summarization in Low Resource Scenarios Nisrine Ait Khayi 38 0 0 24 Jan 2025
Hybrid Losses for Hierarchical Embedding Learning Haokun Tian Stefan Lattner Brian McFee Charalampos Saitis 43 0 0 22 Jan 2025
Enhancing Graph Representation Learning with Localized Topological Features Zuoyu Yan Qi Zhao Ze Ye Tengfei Ma Liangcai Gao Zhi Tang Yusu Wang Chao Chen 47 0 0 17 Jan 2025
A group-theoretic framework for machine learning in hyperbolic spaces Vladimir Jaćimović 41 0 0 12 Jan 2025
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Y. Lin Ronald R. Coifman Gal Mishne Ronen Talmon 40 2 0 28 Oct 2024
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties Guanglin Niu 32 0 0 16 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
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes Tianchang Shen Z. Li Marc Law Matan Atzmon Sanja Fidler James Lucas Jun Gao Nicholas Sharp 3DH 21 3 0 30 Sep 2024
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution Haiyan Zhao Heng Zhao Bo Shen Ali Payani Fan Yang Mengnan Du 59 2 0 30 Sep 2024
HVT: A Comprehensive Vision Framework for Learning in Non-Euclidean Space Jacob Fein-Ashley Ethan Feng Minh Pham 30 3 0 25 Sep 2024
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space Zhangyu Wang Lantian Xu Zhifeng Kong Weilong Wang Xuyu Peng Enyang Zheng 31 0 0 23 Jul 2024
Ontology Embedding: A Survey of Methods, Applications and Resources Jiaoyan Chen Olga Mashkova Fernando Zhapa-Camacho R. Hoehndorf Yuan He Ian Horrocks 50 4 0 16 Jun 2024
The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park Yo Joong Choe Yibo Jiang Victor Veitch 50 25 0 03 Jun 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 30 1 0 23 Apr 2024
Hyp-OC: Hyperbolic One Class Classification for Face Anti-Spoofing Kartik Narayan Vishal M. Patel CVBM 41 1 0 22 Apr 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 40 3 0 18 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
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent Benjamin Gess Sebastian Kassing Nimit Rana 37 0 0 02 Feb 2024
Product Manifold Representations for Learning on Biological Pathways Daniel McNeela Frederic Sala A. Gitter GNN 69 2 0 27 Jan 2024
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge Keyu Wang Guilin Qi Jiaoyan Chen Yi Huang Tianxing Wu 63 1 0 20 Jan 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
An Intrinsic Approach to Scalar-Curvature Estimation for Point Clouds Abigail Hickok Andrew J. Blumberg 3DPC 19 2 0 04 Aug 2023
L3DMC: Lifelong Learning using Distillation via Mixed-Curvature Space Kaushik Roy Peyman Moghadam Mehrtash Harandi 22 6 0 31 Jul 2023
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 35 19 0 15 Jun 2023
HyHTM: Hyperbolic Geometry based Hierarchical Topic Models Simra Shahid Tanay Anand Nikitha Srikanth S. Bhatia Balaji Krishnamurthy Nikaash Puri 31 0 0 16 May 2023
Tight and fast generalization error bound of graph embedding in metric space Atsushi Suzuki Atsushi Nitanda Taiji Suzuki Jing Wang Feng Tian Kenji Yamanishi 20 0 0 13 May 2023
Exploring Data Geometry for Continual Learning Zhi Gao C. Xu Feng Li Yunde Jia Mehrtash Harandi Yuwei Wu CLL 21 9 0 08 Apr 2023
FMGNN: Fused Manifold Graph Neural Network Cheng Deng Fan Xu Jiaxing Ding Luoyi Fu Weinan Zhang Xinbing Wang 30 3 0 03 Apr 2023
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion Sijie Wang Qiyu Kang Rui She Wei Wang K. Zhao Yang Song Wee Peng Tay 31 18 0 03 Apr 2023
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks Qiyu Kang Kai Zhao Yang Song Sijie Wang Rui She Wee Peng Tay 35 0 0 02 Mar 2023
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification Kanishk Jain Shyamgopal Karthik Vineet Gandhi 19 5 0 01 Feb 2023
Neural networks learn to magnify areas near decision boundaries Jacob A. Zavatone-Veth Sheng Yang Julian Rubinfien C. Pehlevan MLT AI4CE 20 6 0 26 Jan 2023
Time-aware Hyperbolic Graph Attention Network for Session-based Recommendation Xiaohan Li Yuqing Liu Zheng Liu Philip S. Yu 27 7 0 10 Jan 2023
Hierarchical Explanations for Video Action Recognition Sadaf Gulshad Teng Long N. V. Noord FAtt 18 6 0 01 Jan 2023
Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons Akila Peiris Nisansa de Silva 19 5 0 18 Dec 2022
Hyperbolic Hierarchical Contrastive Hashing Rukai Wei Yu Liu Jingkuan Song Yanzhao Xie Ke Zhou 26 7 0 17 Dec 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections Clément Bonet Laetitia Chapel Lucas Drumetz Nicolas Courty 11 14 0 18 Nov 2022
Hierarchies over Vector Space: Orienting Word and Graph Embeddings Xingzhi Guo Steven Skiena 19 1 0 02 Nov 2022
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages Gihan Weeraprameshwara Vihanga Jayawickrama Nisansa de Silva Yudhanjaya Wijeratne 23 4 0 26 Oct 2022