Neural Embeddings of Graphs in Hyperbolic Space

29 May 2017

Papers citing "Neural Embeddings of Graphs in Hyperbolic Space"

28 / 28 papers shown

Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Ya-Wei Eileen Lin Ronald R. Coifman Gal Mishne Ronen Talmon 45 2 0 28 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 53 5 0 09 Oct 2024
A Geometry-Aware Algorithm to Learn Hierarchical Embeddings in Hyperbolic Space Zhangyu Wang Lantian Xu Zhifeng Kong Weilong Wang Xuyu Peng Enyang Zheng 34 0 0 23 Jul 2024
Symmetry-driven embedding of networks in hyperbolic space Simon Lizotte Jean-Gabriel Young Antoine Allard 39 1 0 15 Jun 2024
Stochastic Modified Flows for Riemannian Stochastic Gradient Descent Benjamin Gess Sebastian Kassing Nimit Rana 45 0 0 02 Feb 2024
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries Haitz Sáez de Ocáriz Borde Anastasis Kratsios 42 4 0 23 Oct 2023
Fast hyperboloid decision tree algorithms Philippe Chlenski Ethan Turok A. Moretti I. Pe’er 31 4 0 20 Oct 2023
Relating graph auto-encoders to linear models Solveig Klepper U. V. Luxburg 25 1 0 03 Nov 2022
Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages Gihan Weeraprameshwara Vihanga Jayawickrama Nisansa de Silva Yudhanjaya Wijeratne 38 4 0 26 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 50 21 0 04 Oct 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
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations Nikolaos Nakis Abdulkadir Çelikkanat Sune Lehmann Morten Mørup 28 7 0 12 Apr 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 72 23 0 02 Feb 2022
Neural Distance Embeddings for Biological Sequences Gabriele Corso Rex Ying Michal Pándy Petar Velivcković J. Leskovec Pietro Lio 25 40 0 20 Sep 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 33 21 0 28 Jun 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 2021
Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes Asan Agibetov Matthias Samwald 39 8 0 15 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 287 0 07 May 2020
Hyperbolic Graph Convolutional Neural Networks Ines Chami Rex Ying Christopher Ré J. Leskovec GNN 32 630 0 28 Oct 2019
Hydra: A method for strain-minimizing hyperbolic embedding of network- and distance-based data Martin Keller-Ressel Stephanie Nargang 14 38 0 21 Mar 2019
Scalable Hyperbolic Recommender Systems B. Chamberlain Stephen R. Hardwick D. Wardrope Fabon Dzogang F. Daolio S. Vargas LRM 18 47 0 22 Feb 2019
Using Embeddings to Correct for Unobserved Confounding in Networks Victor Veitch Yixin Wang David M. Blei CML 23 56 0 11 Feb 2019
Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders Emile Mathieu Charline Le Lan Chris J. Maddison Ryota Tomioka Yee Whye Teh BDL DRL 34 172 0 17 Jan 2019
Adversarial Classifier for Imbalanced Problems Ehsan Montahaei Mahsa Ghorbani M. Baghshah Hamid R. Rabiee 21 12 0 21 Nov 2018
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems Lucas Vinh Tran Yi Tay Shuai Zhang Gao Cong Xiaoli Li 27 122 0 05 Sep 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 41 7 0 15 Feb 2018
Specialising Word Vectors for Lexical Entailment Ivan Vulić N. Mrksic 42 107 0 17 Oct 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 58 1,967 0 17 Sep 2017