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Inference in Probabilistic Graphical Models by Graph Neural Networks

Inference in Probabilistic Graphical Models by Graph Neural Networks

21 March 2018
Kijung Yoon
Renjie Liao
Yuwen Xiong
Lisa Zhang
Ethan Fetaya
R. Urtasun
R. Zemel
Xaq Pitkow
    TPM
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Papers citing "Inference in Probabilistic Graphical Models by Graph Neural Networks"

19 / 19 papers shown
Title
The Expressive Power of Graph Neural Networks: A Survey
The Expressive Power of Graph Neural Networks: A Survey
Bingxue Zhang
Changjun Fan
Shixuan Liu
Kuihua Huang
Xiang Zhao
Jin-Yu Huang
Zhong Liu
124
22
0
16 Aug 2023
Situation Recognition with Graph Neural Networks
Situation Recognition with Graph Neural Networks
Ruiyu Li
Makarand Tapaswi
Renjie Liao
Jiaya Jia
R. Urtasun
Sanja Fidler
GNN
42
131
0
14 Aug 2017
Supervised Community Detection with Line Graph Neural Networks
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen
Xiang Li
Joan Bruna
48
78
0
23 May 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
274
7,388
0
04 Apr 2017
The More You Know: Using Knowledge Graphs for Image Classification
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino
Ruslan Salakhutdinov
Abhinav Gupta
GNN
OCL
76
345
0
14 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
439
28,901
0
09 Sep 2016
Discriminative Embeddings of Latent Variable Models for Structured Data
Discriminative Embeddings of Latent Variable Models for Structured Data
H. Dai
Bo Dai
Le Song
BDL
101
695
0
17 Mar 2016
Convolutional Pose Machines
Convolutional Pose Machines
S. Wei
V. Ramakrishna
T. Kanade
Yaser Sheikh
3DV
SSL
84
2,739
0
30 Jan 2016
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
262
3,271
0
17 Nov 2015
Structure Inference Machines: Recurrent Neural Networks for Analyzing
  Relations in Group Activity Recognition
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
Zhiwei Deng
Arash Vahdat
Hexiang Hu
Greg Mori
BDL
GNN
50
242
0
13 Nov 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
149
3,337
0
30 Sep 2015
Deeply Learning the Messages in Message Passing Inference
Deeply Learning the Messages in Message Passing Inference
Guosheng Lin
Chunhua Shen
Ian Reid
Anton Van Den Hengel
3DV
66
63
0
06 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
808
149,474
0
22 Dec 2014
Mean-Field Networks
Mean-Field Networks
Yujia Li
R. Zemel
50
28
0
21 Oct 2014
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
629
23,235
0
03 Jun 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
125
4,856
0
21 Dec 2013
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
107
1,906
0
10 Jan 2013
Loopy Belief Propogation and Gibbs Measures
Loopy Belief Propogation and Gibbs Measures
S. Tatikonda
Michael I. Jordan
50
217
0
12 Dec 2012
Stochastic Belief Propagation: A Low-Complexity Alternative to the
  Sum-Product Algorithm
Stochastic Belief Propagation: A Low-Complexity Alternative to the Sum-Product Algorithm
Nima Noorshams
Martin J. Wainwright
92
44
0
04 Nov 2011
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