Graphical Neural Networks Professors in Global

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Danai Koutra
University of Michigan United States of America
graph neural networks
graph machine learning
graph mining
network neuroscience
network representation learning
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Jonathan Pillow
Princeton University United States of America
statistical machine learning
high-dimensional neural datasets
computational neuroscience
neural decoding
neural encoding
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Chris Eliasmith
University of Waterloo Canada
neural networks
large-scale neural modelling
neural computing
neural dynamics
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Elvin Isufi
Delft University of Technology Netherlands
No active positions
graph neural networks
graph signal processing
graph machine learning
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Shengyao Lu
University of Victoria Canada
graph neural networks
graph representation learning
artificial general intelligence
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Yang Xiang
University of Guelph Canada
graphical models
graph-based modelling
bayesian networks
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E Isufi
Delft University of Technology Netherlands
neural networks
graph machine learning
graphs
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Brokoslaw Laschowski
University of Toronto Canada
neural networks
neural computation
computational neuroscience
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Mahdi Khodayar
The University of Tulsa Iran
No active positions
probabilistic graphical models
deep neural networks
statistical pattern recognition
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
graphical models
statistical modeling
categorical data analysis
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A.c.c. Coolen
Radboud University Netherlands
neural networks
random networks
graphs
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Carina Curto
Brown University United States of America
neural networks
computational neuroscience
neural codes
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Jorge Mejias
University of Amsterdam Netherlands
neural networks
neural mechanisms
neural dynamics
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Peter Schroeder
California Institute of Technology United States of America
computer graphics
numerical algorithms
geometric modeling
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Jeong Park
University of Michigan United States of America
graphics
generative modeling
computational neuroscience
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Yuqi Gu
Columbia University United States of America
probabilistic graphical models
statistical machine learning
deep generative models
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Lingjie Liu
University of Pennsylvania United States of America
neural rendering
computer graphics
neural scene representations
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Jose Pena
Linköping University Sweden
probabilistic graphical models
chain graphs
bayesian networks
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Thomas Nielsen
Aalborg University Denmark
probabilistic graphical models
bayesian networks
decision graphs
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Luke Miller
Radboud University Netherlands
neural computations
neural network modeling
computational modeling
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Jonny Huck
University of Manchester United Kingdom
geographical modeling
geographical simulation
computational geography
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