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Lifted Graphical Models: A Survey

Lifted Graphical Models: A Survey

25 July 2011
Lilyana Mihalkova
Lise Getoor
    3DV
ArXivPDFHTML

Papers citing "Lifted Graphical Models: A Survey"

6 / 6 papers shown
Title
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Beyond Graph Neural Networks with Lifted Relational Neural Networks
Gustav Sourek
F. Železný
Ondrej Kuzelka
NAI
41
17
0
13 Jul 2020
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge
  into Deep Neural Networks
Deep Adaptive Semantic Logic (DASL): Compiling Declarative Knowledge into Deep Neural Networks
Karan Sikka
Andrew Silberfarb
John Byrnes
Indranil Sur
Edmond Chow
Ajay Divakaran
R. Rohwer
NAI
13
11
0
16 Mar 2020
Contextual Symmetries in Probabilistic Graphical Models
Contextual Symmetries in Probabilistic Graphical Models
Ankit Anand
Aditya Grover
Mausam
Parag Singla
23
13
0
30 Jun 2016
TensorLog: A Differentiable Deductive Database
TensorLog: A Differentiable Deductive Database
William W. Cohen
17
121
0
20 May 2016
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Stephen H. Bach
Matthias Broecheler
Bert Huang
Lise Getoor
TPM
AI4CE
39
385
0
17 May 2015
General-Purpose MCMC Inference over Relational Structures
General-Purpose MCMC Inference over Relational Structures
Brian Milch
Stuart J. Russell
BDL
48
73
0
27 Jun 2012
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