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Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs

Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs

5 February 2021
Dora Jambor
Komal K. Teru
Joelle Pineau
William L. Hamilton
ArXivPDFHTML

Papers citing "Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs"

13 / 13 papers shown
Title
Meta Relational Learning for Few-Shot Link Prediction in Knowledge
  Graphs
Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
Yin Hua
Wen Zhang
Wei Zhang
Qiang Chen
Huajun Chen
KELM
117
185
0
04 Sep 2019
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Jiaxuan You
Rex Ying
J. Leskovec
81
495
0
11 Jun 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
85
2,108
0
26 Feb 2019
One-Shot Relational Learning for Knowledge Graphs
One-Shot Relational Learning for Knowledge Graphs
Wenhan Xiong
Mo Yu
Shiyu Chang
Xiaoxiao Guo
William Yang Wang
90
217
0
27 Aug 2018
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
123
1,970
0
17 Sep 2017
Convolutional 2D Knowledge Graph Embeddings
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers
Pasquale Minervini
Pontus Stenetorp
Sebastian Riedel
GNN
3DV
163
2,591
0
05 Jul 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
150
4,772
0
17 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
218
8,072
0
15 Mar 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
55
294
0
22 Feb 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
295
7,299
0
13 Jun 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
122
1,568
0
02 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
907
149,474
0
22 Dec 2014
Notes on Noise Contrastive Estimation and Negative Sampling
Notes on Noise Contrastive Estimation and Negative Sampling
Chris Dyer
49
101
0
30 Oct 2014
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