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Knowledge Association with Hyperbolic Knowledge Graph Embeddings

Knowledge Association with Hyperbolic Knowledge Graph Embeddings

5 October 2020
Zequn Sun
Muhao Chen
Wei Hu
Chengming Wang
Jian Dai
Wei Zhang
ArXivPDFHTML

Papers citing "Knowledge Association with Hyperbolic Knowledge Graph Embeddings"

12 / 12 papers shown
Title
EHGCN: Hierarchical Euclidean-Hyperbolic Fusion via Motion-Aware GCN for Hybrid Event Stream Perception
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
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree
Yaming Yang
Zhe Wang
Ziyu Guan
Wei Zhao
Xinyan Huang
Xiaofei He
59
0
0
14 Feb 2025
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Knowledge Graph Embeddings: A Comprehensive Survey on Capturing Relation Properties
Guanglin Niu
32
0
0
16 Oct 2024
Hyperbolic Representation Learning: Revisiting and Advancing
Hyperbolic Representation Learning: Revisiting and Advancing
Menglin Yang
Min Zhou
Rex Ying
Yankai Chen
Irwin King
35
19
0
15 Jun 2023
LightEA: A Scalable, Robust, and Interpretable Entity Alignment
  Framework via Three-view Label Propagation
LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation
Xin Mao
Wenting Wang
Yuanbin Wu
Man Lan
3DV
26
33
0
19 Oct 2022
Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs
  in Curvature-Variable Hyperbolic Spaces
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
High-quality Task Division for Large-scale Entity Alignment
High-quality Task Division for Large-scale Entity Alignment
Bing Liu
Wenlan Hua
Guido Zuccon
Genghong Zhao
Xia Zhang
20
6
0
22 Aug 2022
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
Dangling-Aware Entity Alignment with Mixed High-Order Proximities
Juncheng Liu
Zequn Sun
Bryan Hooi
Yiwei Wang
Dayiheng Liu
Baosong Yang
X. Xiao
Muhao Chen
20
12
0
05 May 2022
Hyperbolic Graph Neural Networks: A Review of Methods and Applications
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
Are Negative Samples Necessary in Entity Alignment? An Approach with
  High Performance, Scalability and Robustness
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness
Xin Mao
Wenting Wang
Yuanbin Wu
Man Lan
19
26
0
11 Aug 2021
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
A Hyperbolic-to-Hyperbolic Graph Convolutional Network
Jindou Dai
Yuwei Wu
Zhi Gao
Yunde Jia
24
77
0
14 Apr 2021
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning
Xuelu Chen
Michael Boratko
Muhao Chen
S. Dasgupta
Xiang Lorraine Li
Andrew McCallum
34
45
0
09 Apr 2021
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