Random Graph Theory Professors in Global

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Elvin Isufi
Delft University of Technology Netherlands
No active positions
graph machine learning
graph neural networks
graph signal processing
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Pan Li
Georgia Institute of Technology United States of America
graph machine learning
graph neural networks
machine learning
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Jose Pena
Linköping University Sweden
probabilistic graphical models
chain graphs
machine learning
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A.c.c. Coolen
Radboud University Netherlands
random networks
graphs
machine learning
statistical inference
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Thomas Nielsen
Aalborg University Denmark
probabilistic graphical models
decision graphs
machine learning
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Mark Crowley
University of Waterloo Canada
probabilistic graphical models
game theory
machine learning
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Christian Schulz
Heidelberg University Germany
scalable graph algorithms
graph partitioning
machine learning
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Mahdi Khodayar
The University of Tulsa Iran
No active positions
probabilistic graphical models
machine learning
statistical pattern recognition
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Aijun Author
York University Canada
graphs
pattern mining
machine learning
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Aijun Author
York University Canada
graphs
pattern mining
machine learning
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Cyrille Jegourel
Singapore University of Technology and Design Singapore
game theory
machine learning
computing theory
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Munther Dahleh
Massachusetts Institute of Technology United States of America
game theory
machine learning
systems theory
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Aaron Roth
University of Pennsylvania United States of America
game theory
machine learning
learning theory
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Oliver Schulte
Simon Fraser University Canada
computational game theory
machine learning
learning theory
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Danica Sutherland
University of British Columbia Canada
theoretical machine learning
machine learning
statistical machine learning
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
shape-constrained prediction
distribution regression
information theory
statistical machine learning
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Vida Dujmovic
University of Ottawa Canada
graph theory
geometric graph theory
structural graph theory
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Nicholas Cook
Duke University Singapore
random hypergraphs
exponential random graph models
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Ariful Azad
Texas A&M University United States of America
graph machine learning
graph algorithms
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Danai Koutra
University of Michigan United States of America
graph machine learning
graph neural networks
graph mining
graph anomaly event detection
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Ivan Kryven
Utrecht University Netherlands
random graph representation
graph theory
randomized algorithms
random matrices
random approximation algorithms
stochastic analysis
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