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Model-based Subsampling for Knowledge Graph Completion

Model-based Subsampling for Knowledge Graph Completion

17 September 2023
Xincan Feng
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
ArXiv (abs)PDFHTML

Papers citing "Model-based Subsampling for Knowledge Graph Completion"

11 / 11 papers shown
Title
Subsampling for Knowledge Graph Embedding Explained
Subsampling for Knowledge Graph Embedding Explained
Hidetaka Kamigaito
Katsuhiko Hayashi
48
2
0
13 Sep 2022
Comprehensive Analysis of Negative Sampling in Knowledge Graph
  Representation Learning
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning
Hidetaka Kamigaito
Katsuhiko Hayashi
38
26
0
21 Jun 2022
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling:
  With Case Study for Knowledge Graph Embedding
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding
Hidetaka Kamigaito
Katsuhiko Hayashi
51
11
0
14 Jun 2021
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction
Zhanqiu Zhang
Jianyu Cai
Yongdong Zhang
Jie Wang
92
391
0
21 Nov 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex
  Space
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Zhiqing Sun
Zhihong Deng
Jian-Yun Nie
Jian Tang
105
2,134
0
26 Feb 2019
Story Ending Generation with Incremental Encoding and Commonsense
  Knowledge
Story Ending Generation with Incremental Encoding and Commonsense Knowledge
Jian Guan
Yansen Wang
Minlie Huang
LRM
89
161
0
30 Aug 2018
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN3DV
186
2,619
0
05 Jul 2017
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
90
2,978
0
20 Jun 2016
Generalizing and Hybridizing Count-based and Neural Language Models
Generalizing and Hybridizing Count-based and Neural Language Models
Graham Neubig
Chris Dyer
90
31
0
01 Jun 2016
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
95
3,197
0
20 Dec 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
397
33,550
0
16 Oct 2013
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