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RelNN: A Deep Neural Model for Relational Learning

RelNN: A Deep Neural Model for Relational Learning

7 December 2017
Seyed Mehran Kazemi
David Poole
    NAI
    GNN
ArXivPDFHTML

Papers citing "RelNN: A Deep Neural Model for Relational Learning"

14 / 14 papers shown
Title
Comparing Aggregators for Relational Probabilistic Models
Comparing Aggregators for Relational Probabilistic Models
Seyed Mehran Kazemi
Bahare Fatemi
Alexandra Kim
Zilun Peng
Moumita Roy Tora
Xing Zeng
Matthew C. Dirks
David Poole
36
8
0
25 Jul 2017
End-to-End Differentiable Proving
End-to-End Differentiable Proving
Tim Rocktaschel
Sebastian Riedel
NAI
99
381
0
31 May 2017
A survey of embedding models of entities and relationships for knowledge
  graph completion
A survey of embedding models of entities and relationships for knowledge graph completion
Dat Quoc Nguyen
48
100
0
23 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
408
2,464
0
10 Mar 2017
Column Networks for Collective Classification
Column Networks for Collective Classification
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
GNN
110
145
0
15 Sep 2016
Chains of Reasoning over Entities, Relations, and Text using Recurrent
  Neural Networks
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Rajarshi Das
Arvind Neelakantan
David Belanger
Andrew McCallum
NAI
AI4CE
LRM
64
271
0
05 Jul 2016
A Learning Algorithm for Relational Logistic Regression: Preliminary
  Results
A Learning Algorithm for Relational Logistic Regression: Preliminary Results
Bahare Fatemi
Seyed Mehran Kazemi
David Poole
28
9
0
28 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
88
2,978
0
20 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNN
SSL
138
2,154
0
17 May 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
274
11,151
0
14 Mar 2016
Lifted Relational Neural Networks
Lifted Relational Neural Networks
Gustav Sourek
Vojtech Aschenbrenner
F. Železný
Ondrej Kuzelka
NAI
56
60
0
20 Aug 2015
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
174
1,575
0
02 Mar 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
463
43,305
0
11 Feb 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
257
9,789
0
26 Mar 2014
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