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