Poincaré Embeddings for Learning Hierarchical Representations

22 May 2017

Douwe Kiela

Papers citing "Poincaré Embeddings for Learning Hierarchical Representations"

21 / 21 papers shown

Title
Hierarchical Mamba Meets Hyperbolic Geometry: A New Paradigm for Structured Language Embeddings Sarang Patil Ashish Parmanand Pandey Ioannis Koutis Mengjia Xu 35 0 0 25 May 2025
Hyperbolic Contrastive Learning with Model-augmentation for Knowledge-aware Recommendation Shengyin Sun Chen Ma 62 2 0 13 May 2025
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 82 2 0 02 Apr 2025
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding Thomas Dagès Simon Weber Ya-Wei Eileen Lin Ronen Talmon Daniel Cremers M. Lindenbaum A. Bruckstein Ron Kimmel 107 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 92 0 0 19 Mar 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 142 3 0 24 Feb 2025
A Geometric Perspective for High-Dimensional Multiplex Graphs K. Abdous Nairouz Mrabah Mohamed Bouguessa 101 0 0 29 Jan 2025
Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs Tiehua Zhang Yuze Liu Zhishu Shen Xingjun Ma Xin Chen Xiaowei Huang Jun-Jian Yin 87 7 0 31 Dec 2024
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Ya-Wei Eileen Lin Ronald R. Coifman Zhengchao Wan Ronen Talmon 90 2 0 28 Oct 2024
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties Guanglin Niu 78 0 0 16 Oct 2024
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes Tianchang Shen Zheng Li Marc Law Matan Atzmon Sanja Fidler James Lucas Jun Gao Nicholas Sharp 3DH 51 4 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 76 4 0 30 Sep 2024
Ontology Embedding: A Survey of Methods, Applications and Resources Jiaoyan Chen Olga Mashkova Fernando Zhapa-Camacho Robert Hoehndorf Yuan He Ian Horrocks 77 6 0 16 Jun 2024
The Geometry of Categorical and Hierarchical Concepts in Large Language Models Kiho Park Yo Joong Choe Yibo Jiang Victor Veitch 66 35 0 03 Jun 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 61 4 0 18 Mar 2024
Product Manifold Representations for Learning on Biological Pathways Daniel McNeela Frederic Sala A. Gitter GNN 96 2 0 27 Jan 2024
Embedding Ontologies via Incorporating Extensional and Intensional Knowledge Keyu Wang Guilin Qi Jiaoyan Chen Yi Huang Tianxing Wu 85 1 0 20 Jan 2024
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 76 3 0 27 Sep 2023
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 82 637 0 28 Oct 2019
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds Hongyi Zhang Sashank J. Reddi S. Sra 80 240 0 23 May 2016
Hierarchical structure and the prediction of missing links in networks A. Clauset Cristopher Moore Mark E. J. Newman 57 2,070 0 04 Nov 2008