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Hypernetwork Knowledge Graph Embeddings

Hypernetwork Knowledge Graph Embeddings

21 August 2018
Ivana Balazevic
Carl Allen
Timothy M. Hospedales
    GNN
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Papers citing "Hypernetwork Knowledge Graph Embeddings"

17 / 17 papers shown
Title
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
85
2,108
0
26 Feb 2019
SimplE Embedding for Link Prediction in Knowledge Graphs
SimplE Embedding for Link Prediction in Knowledge Graphs
Seyed Mehran Kazemi
David Poole
69
713
0
13 Feb 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Yelong Shen
Jianshu Chen
Po-Sen Huang
Yuqing Guo
Jianfeng Gao
47
127
0
12 Feb 2018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in
  Knowledge Bases using Reinforcement Learning
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Rajarshi Das
Shehzaad Dhuliawala
Manzil Zaheer
Luke Vilnis
Ishan Durugkar
A. Krishnamurthy
Alex Smola
Andrew McCallum
KELM
66
509
0
15 Nov 2017
TorusE: Knowledge Graph Embedding on a Lie Group
TorusE: Knowledge Graph Embedding on a Lie Group
Takuma Ebisu
R. Ichise
40
206
0
15 Nov 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
166
2,591
0
05 Jul 2017
Analogical Inference for Multi-Relational Embeddings
Analogical Inference for Multi-Relational Embeddings
Hanxiao Liu
Yuexin Wu
Yiming Yang
76
374
0
06 May 2017
Modeling Relational Data with Graph Convolutional Networks
Modeling Relational Data with Graph Convolutional Networks
Michael Schlichtkrull
Thomas Kipf
Peter Bloem
Rianne van den Berg
Ivan Titov
Max Welling
GNN
153
4,772
0
17 Mar 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
118
1,133
0
23 Jan 2017
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
109
1,603
0
27 Sep 2016
STransE: a novel embedding model of entities and relationships in
  knowledge bases
STransE: a novel embedding model of entities and relationships in knowledge bases
Dat Quoc Nguyen
Kairit Sirts
Zhuang Li
Mark Johnson
55
181
0
27 Jun 2016
Complex Embeddings for Simple Link Prediction
Complex Embeddings for Simple Link Prediction
Théo Trouillon
Johannes Welbl
Sebastian Riedel
Éric Gaussier
Guillaume Bouchard
BDL
84
2,955
0
20 Jun 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
522
27,231
0
02 Dec 2015
Holographic Embeddings of Knowledge Graphs
Holographic Embeddings of Knowledge Graphs
Maximilian Nickel
Lorenzo Rosasco
T. Poggio
43
1,195
0
16 Oct 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
361
43,154
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
972
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
80
3,174
0
20 Dec 2014
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