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Searching to Sparsify Tensor Decomposition for N-ary Relational Data

Searching to Sparsify Tensor Decomposition for N-ary Relational Data

21 April 2021
Shimin Di
Quanming Yao
Lei Chen
ArXivPDFHTML

Papers citing "Searching to Sparsify Tensor Decomposition for N-ary Relational Data"

24 / 24 papers shown
Title
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
Generalizing Tensor Decomposition for N-ary Relational Knowledge Bases
Yu Liu
Quanming Yao
Yong Li
30
75
0
08 Jul 2020
Efficient Neural Architecture Search via Proximal Iterations
Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao
Ju Xu
Wei-Wei Tu
Zhanxing Zhu
57
104
0
30 May 2019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural
  Architecture Search
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
Youhei Akimoto
Shinichi Shirakawa
Nozomu Yoshinari
Kento Uchida
Shota Saito
K. Nishida
45
86
0
21 May 2019
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
AutoSF: Searching Scoring Functions for Knowledge Graph Embedding
Yongqi Zhang
Quanming Yao
Wenyuan Dai
Lei Chen
33
80
0
26 Apr 2019
Quaternion Knowledge Graph Embeddings
Quaternion Knowledge Graph Embeddings
Shuai Zhang
Yi Tay
Lina Yao
Qi Liu
68
459
0
23 Apr 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
80
2,108
0
26 Feb 2019
TuckER: Tensor Factorization for Knowledge Graph Completion
TuckER: Tensor Factorization for Knowledge Graph Completion
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
58
721
0
28 Jan 2019
SNAS: Stochastic Neural Architecture Search
SNAS: Stochastic Neural Architecture Search
Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
59
932
0
24 Dec 2018
Automated Machine Learning: From Principles to Practices
Automated Machine Learning: From Principles to Practices
Quanming Yao
Mengshuo Wang
Hugo Jair Escalante
Huan Zhao
Qiang Yang
55
258
0
31 Oct 2018
Hypernetwork Knowledge Graph Embeddings
Hypernetwork Knowledge Graph Embeddings
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
GNN
47
182
0
21 Aug 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
167
4,326
0
24 Jun 2018
Canonical Tensor Decomposition for Knowledge Base Completion
Canonical Tensor Decomposition for Knowledge Base Completion
Timothée Lacroix
Nicolas Usunier
G. Obozinski
52
384
0
19 Jun 2018
SimplE Embedding for Link Prediction in Knowledge Graphs
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi
David Poole
66
713
0
13 Feb 2018
Learning Sparse Neural Networks through $L_0$ Regularization
Learning Sparse Neural Networks through L0L_0L0​ Regularization
Christos Louizos
Max Welling
Diederik P. Kingma
239
1,136
0
04 Dec 2017
On Multi-Relational Link Prediction with Bilinear Models
On Multi-Relational Link Prediction with Bilinear Models
Yanjie Wang
Rainer Gemulla
Hui Li
42
68
0
14 Sep 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
160
2,591
0
05 Jul 2017
Analogical Inference for Multi-Relational Embeddings
Analogical Inference for Multi-Relational Embeddings
Hanxiao Liu
Yuexin Wu
Yiming Yang
61
374
0
06 May 2017
Knowledge Graph Completion via Complex Tensor Factorization
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon
C. Dance
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
50
294
0
22 Feb 2017
Tensor Ring Decomposition
Tensor Ring Decomposition
Qibin Zhao
Guoxu Zhou
Shengli Xie
Liqing Zhang
A. Cichocki
42
358
0
17 Jun 2016
On the representation and embedding of knowledge bases beyond binary
  relations
On the representation and embedding of knowledge bases beyond binary relations
Jianfeng Wen
Jianxin Li
Yongyi Mao
Shini Chen
Richong Zhang
76
117
0
28 Apr 2016
A Review of Relational Machine Learning for Knowledge Graphs
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel
Kevin Patrick Murphy
Volker Tresp
E. Gabrilovich
119
1,568
0
02 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
842
149,474
0
22 Dec 2014
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
77
3,174
0
20 Dec 2014
Irreflexive and Hierarchical Relations as Translations
Irreflexive and Hierarchical Relations as Translations
Antoine Bordes
Nicolas Usunier
Alberto García-Durán
Jason Weston
Oksana Yakhnenko
39
35
0
26 Apr 2013
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