Low-Dimensional Hyperbolic Knowledge Graph Embeddings

1 May 2020

Papers citing "Low-Dimensional Hyperbolic Knowledge Graph Embeddings"

50 / 52 papers shown

Title
New Recipe for Semi-supervised Community Detection: Clique Annealing under Crystallization Kinetics Ling Cheng Jiashu Pu Ruicheng Liang Qian Shao Hezhe Qiao Feida Zhu 31 0 0 22 Apr 2025
A group-theoretic framework for machine learning in hyperbolic spaces Vladimir Jaćimović 44 0 0 12 Jan 2025
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties Guanglin Niu 37 0 0 16 Oct 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs Kai Wang Siqiang Luo Caihua Shan Yifei Shen 32 0 0 16 Oct 2024
Large Language Model Enhanced Knowledge Representation Learning: A Survey Xin Wang Zirui Chen Haofen Wang Leong Hou U Zhao Li Wenbin Guo KELM 68 3 0 01 Jul 2024
Start from Zero: Triple Set Prediction for Automatic Knowledge Graph Completion Wen Zhang Yajing Xu Peng Ye Zhiwei Huang Zezhong Xu Jiaoyan Chen Jeff Z. Pan Huajun Chen 29 1 0 26 Jun 2024
Progressive Knowledge Graph Completion Jiayi Li Ruilin Luo Jiaqi Sun Jing Xiao Yujiu Yang 30 1 0 15 Apr 2024
A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects Jiapu Wang Boyue Wang M. Qiu Shirui Pan Bo Xiong ... Linhao Luo Tengfei Liu Yongli Hu Baocai Yin Wen Gao 38 19 0 04 Aug 2023
Hyperbolic Representation Learning: Revisiting and Advancing Menglin Yang Min Zhou Rex Ying Yankai Chen Irwin King 40 19 0 15 Jun 2023
Hyperbolic Convolution via Kernel Point Aggregation Eric Qu Dongmian Zou 45 3 0 15 Jun 2023
Shrinking Embeddings for Hyper-Relational Knowledge Graphs Bo Xiong M. Nayyer Shirui Pan Steffen Staab 24 16 0 03 Jun 2023
HyHTM: Hyperbolic Geometry based Hierarchical Topic Models Simra Shahid Tanay Anand Nikitha Srikanth S. Bhatia Balaji Krishnamurthy Nikaash Puri 34 0 0 16 May 2023
Geometric Relational Embeddings: A Survey Bo Xiong M. Nayyeri Ming Jin Yunjie He Michael Cochez Shirui Pan Steffen Staab 40 7 0 24 Apr 2023
Deep Active Alignment of Knowledge Graph Entities and Schemata Jiacheng Huang Zequn Sun Qijin Chen Xiaozhou Xu Weijun Ren Wei Hu 19 11 0 10 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
Knowledge Graph Embedding with 3D Compound Geometric Transformations Xiou Ge Yun Cheng Wang Bin Wang C.-C. Jay Kuo 22 6 0 01 Apr 2023
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding Borui Cai Yong Xiang Longxiang Gao Di Wu Heng Zhang Jiongdao Jin Tom H. Luan 29 1 0 22 Mar 2023
Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models Cosimo Gregucci M. Nayyeri Daniel Hernández Steffen Staab 48 20 0 13 Feb 2023
Event Temporal Relation Extraction with Bayesian Translational Model Xingwei Tan Gabriele Pergola Yulan He AI4TS 35 6 0 10 Feb 2023
Hyperbolic Hierarchical Contrastive Hashing Rukai Wei Yu Liu Jingkuan Song Yanzhao Xie Ke Zhou 32 7 0 17 Dec 2022
Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations Saee Paliwal Angus Brayne Benedek Fabian Maciej Wiatrak Aaron Sim 16 0 0 02 Dec 2022
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction Zixiao Wang Yuluo Guo Jin Zhao Yu Zhang Hui Yu Xiaofei Liao Biao Wang Ting Yu DiffM GNN 29 6 0 04 Oct 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
ER: Equivariance Regularizer for Knowledge Graph Completion Zongsheng Cao Qianqian Xu Zhiyong Yang Qingming Huang 27 11 0 24 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 31 36 0 07 Jun 2022
Ultrahyperbolic Knowledge Graph Embeddings Bo Xiong Shichao Zhu M. Nayyeri Chengjin Xu Shirui Pan Chuan Zhou Steffen Staab 16 31 0 01 Jun 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
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective Ying Zhou Xuanang Chen Xianpei Han Zheng Ye Le Sun 28 11 0 09 May 2022
Hyperbolic Hierarchical Knowledge Graph Embeddings for Link Prediction in Low Dimensions Wenjie Zheng Wenxue Wang Shu Zhao Fulan Qian 36 3 0 28 Apr 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
STaR: Knowledge Graph Embedding by Scaling, Translation and Rotation Jiayi Li Yujiu Yang 11 9 0 15 Feb 2022
Multi-task Pre-training Language Model for Semantic Network Completion Da Li Sen Yang Kele Xu Ming Yi Yukai He Huaimin Wang 46 29 0 13 Jan 2022
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings Kai Wang Yu Liu Quan.Z Sheng 25 18 0 03 Jan 2022
Self-attention Presents Low-dimensional Knowledge Graph Embeddings for Link Prediction Peyman Baghershahi Reshad Hosseini H. Moradi 31 52 0 20 Dec 2021
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones Yushi Bai Rex Ying Hongyu Ren J. Leskovec 20 58 0 28 Oct 2021
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding Tengwei Song Jie Luo Lei Huang 37 34 0 27 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 39 17 0 26 Oct 2021
Rule Induction in Knowledge Graphs Using Linear Programming S. Dash Joao Goncalves 26 5 0 15 Oct 2021
Text analysis and deep learning: A network approach Ingo Marquart 25 0 0 08 Oct 2021
BiQUE: Biquaternionic Embeddings of Knowledge Graphs Jia Guo Stanley Kok 149 29 0 29 Sep 2021
Neural Distance Embeddings for Biological Sequences Gabriele Corso Rex Ying Michal Pándy Petar Velivcković J. Leskovec Pietro Lió 25 40 0 20 Sep 2021
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting Haohai Sun Jialu Zhong Yunpu Ma Zhen Han Kun He AI4TS 76 150 0 09 Sep 2021
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations Anson Bastos Kuldeep Singh Abhishek Nadgeri Saeedeh Shekarpour I. Mulang' Johannes Hoffart 27 18 0 12 Aug 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 27 3 0 09 Aug 2021
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs Mikhail Galkin E. Denis Jiapeng Wu William L. Hamilton OCL 28 86 0 23 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 24 27 0 09 Jun 2021
Relational Learning with Gated and Attentive Neighbor Aggregator for Few-Shot Knowledge Graph Completion Guanglin Niu Yang Li Chengguang Tang Ruiying Geng Jian Dai Qiao Liu Hao Wang Jian Sun Fei Huang Luo Si 18 88 0 27 Apr 2021
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs Nurendra Choudhary Nikhil S. Rao S. Katariya Karthik Subbian Chandan K. Reddy 16 64 0 23 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 35 720 0 17 Dec 2020