Graph Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
graph algorithms
online algorithms
dynamic algorithms
distributed algorithms
parameterized algorithms
distance-estimation algorithms
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Marc Renault
University of Wisconsin United States of America
search algorithms
online algorithms
analysis of algorithms
streaming algorithms
approximation algorithms
offline algorithms
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Mateja Šajna
University of Ottawa Canada
graph theory
graph factorizations
symmetry graphs
connectivity in hypergraphs
cycle decompositions of graphs
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Ivan Kryven
Utrecht University Netherlands
graph theory
random graph representation
randomized algorithms
random approximation algorithms
automata and graph grammars
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Danai Koutra
University of Michigan United States of America
graph neural networks
graph machine learning
graph mining
graph anomaly event detection
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Graham Farr
Monash University Australia
graph algorithms
graph theory
algorithms
enumeration algorithm
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
graph algorithms
dynamic algorithms
approximation algorithms
sublinear algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
graph algorithms
data stream algorithms
approximation algorithms
quantum algorithms
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Sandra Kiefer
University of Oxford United Kingdom
graph machine learning
graph theory
algorithms
applications of algorithms
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Gara Pruesse
Vancouver Island University Canada
graph algorithms
approximation algorithms
optimization algorithms
discrete algorithms
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Debarati Das
Pennsylvania State University United States of America
graph algorithms
string algorithms
approximation algorithms
clustering algorithms
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Vida Dujmovic
University of Ottawa Canada
graph theory
algorithms
geometric graph theory
structural graph theory
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Mohammad Salavatipour
University of Alberta Canada
algorithmic graph theory
approximation algorithms
algorithmics
probabilistic randomized algorithms
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Elvin Isufi
Delft University of Technology Netherlands
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graph neural networks
graph machine learning
graph signal processing
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Sean Chester
Aarhus University Denmark
graph algorithms
algorithms
parallel algorithms
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Inge Gørtz
Technical University of Denmark Denmark
graph algorithms
algorithms
approximation algorithms
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Norbert Zeh
Dalhousie University Canada
graph algorithms
algorithms
parallel algorithms
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Shahin Kamali
York University Canada
graph algorithms
graph partitioning
analysis of algorithms
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Lene Favrholdt
University of Southern Denmark Denmark
graph algorithms
algorithms
on-line algorithms
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Asish Mukhopadhyay
University of Windsor Canada
graph algorithms
algorithms
approximation algorithms
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John Reif
Duke University Singapore
graph algorithms
parallel algorithms
randomized algorithms
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