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Hyperbolic Disk Embeddings for Directed Acyclic Graphs

12 February 2019

Papers citing "Hyperbolic Disk Embeddings for Directed Acyclic Graphs"

21 / 21 papers shown

Title
Emergent Visual-Semantic Hierarchies in Image-Text Representations Morris Alper Hadar Averbuch-Elor VLM 104 9 0 11 Jul 2024
Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces Li Sun Junda Ye Jiawei Zhang Yong Yang Mingsheng Liu Feiyang Wang Philip S. Yu 107 5 0 02 Jan 2024
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun Zhenhao Huang Zixi Wang Feiyang Wang Hao Peng Philip Yu 93 17 0 02 Jan 2024
Contrastive Graph Clustering in Curvature Spaces Li Sun Feiyang Wang Junda Ye Hao Peng Philip S. Yu 86 19 0 05 May 2023
Geometric Relational Embeddings: A Survey Bo Xiong M. Nayyeri Ming Jin Yunjie He Michael Cochez Shirui Pan Steffen Staab 121 7 0 24 Apr 2023
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations Saee Paliwal Angus Brayne Benedek Fabian Maciej Wiatrak Aaron Sim 45 0 0 02 Dec 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 96 32 0 30 Nov 2022
Improved Representation of Asymmetrical Distances with Interval Quasimetric Embeddings Tongzhou Wang Phillip Isola 92 10 0 28 Nov 2022
On the Learning and Learnability of Quasimetrics Tongzhou Wang Phillip Isola 88 9 0 30 Jun 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 72 7 0 22 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 82 34 0 10 Dec 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 74 21 0 28 Jun 2021
Directed Graph Embeddings in Pseudo-Riemannian Manifolds Aaron Sim Maciej Wiatrak Angus Brayne Páidí Creed Saee Paliwal 69 16 0 16 Jun 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 68 98 0 15 Apr 2021
Understanding in Artificial Intelligence S. Maetschke D. M. Iraola Pieter Barnard Elaheh Shafieibavani Peter Zhong Ying Xu Antonio Jimeno Yepes ELM VLM 37 0 0 17 Jan 2021
Learning Syllogism with Euler Neural-Networks Tiansi Dong Chengjiang Li Christian Bauckhage Juan-Zi Li Stefan Wrobel A. Cremers 26 4 0 14 Jul 2020
Nested Subspace Arrangement for Representation of Relational Data Nozomi Hata S. Kaji Akihiro Yoshida Katsuki Fujisawa 41 3 0 04 Jul 2020
Knowledge Graph Embeddings and Explainable AI Federico Bianchi Gaetano Rossiello Luca Costabello M. Palmonari Pasquale Minervini 100 81 0 30 Apr 2020
Hierarchical Image Classification using Entailment Cone Embeddings Ankit Dhall Anastasia Makarova O. Ganea Dario Pavllo Michael Greeff Andreas Krause 54 61 0 02 Apr 2020
Learning Representations For Images With Hierarchical Labels Ankit Dhall SSL 36 2 0 02 Apr 2020
Representation Learning with Multisets Vasco Portilheiro SSL 32 0 0 19 Nov 2019