Graph Theoretic Approach Professors in Global

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Vida Dujmovic
University of Ottawa Canada
graph theory
geometric graph theory
structural graph theory
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Danai Koutra
University of Michigan United States of America
graph machine learning
graph mining
graph neural networks
graph anomaly event detection
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Elvin Isufi
Delft University of Technology Netherlands
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graph machine learning
graph neural networks
graph signal processing
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Xingxing Yu
Georgia Institute of Technology United States of America
graph theory
graph algorithms
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R. Parker
Georgia Institute of Technology United States of America
graph theory
graph algorithms
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Graham Farr
Monash University Australia
graph theory
graph algorithms
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Xingxing Yu
Georgia Institute of Technology United States of America
graph theory
graph algorithms
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Sandra Kiefer
University of Oxford United Kingdom
graph theory
graph machine learning
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Anwarul Patwary
University of Western Australia Australia
graph theory
graph machine learning
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Maria Chudnovsky
Princeton University United States of America
graph theory
structural graph theory
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Felix Joos
Heidelberg University Germany
graph theory
hypergraph theory
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Senja Barthel
Vrije Universiteit Amsterdam Netherlands
graph theory
spatial graphs
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Ariful Azad
Texas A&M University United States of America
graph algorithms
graph machine learning
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University of Hamburg Germany
geometric graph theory
graph drawing
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Karl Heuer
Technical University of Denmark Denmark
graph theory
connectivity in graphs
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Bernard Mans
Macquarie University Australia
graph theory
dynamic graphs
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Stephan Wagner
Uppsala University Sweden
graph theory
random graphs
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Karen Gunderson
University of Manitoba Canada
graph theory
random graphs
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Nick Wormald
Monash University Australia
graph theory
combinatorial graph algorithms
random graphs
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Pan Li
Georgia Institute of Technology United States of America
graph machine learning
graph neural networks
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Florent Baudier
Texas A&M University United States of America
geometric graph theory
graphs
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