Graph Colouring Professors in Global

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Danai Koutra
University of Michigan United States of America
graph mining
graph machine learning
graph neural networks
graph anomaly event detection
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Elvin Isufi
Delft University of Technology Netherlands
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graph signal processing
graph machine learning
graph neural networks
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Abraham Bernstein
University of Zurich Switzerland
graph mining
graph stores
large graph data sets
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Mateja Šajna
University of Ottawa Canada
graph factorizations
graph theory
symmetry graphs
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Martin Pei
University of Waterloo Canada
list coloring of hypergraphs
graph theory
acyclic graphs
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Nick Wormald
Monash University Australia
graph theory
random graphs
combinatorial graph algorithms
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Karen Gunderson
University of Manitoba Canada
graph theory
random graphs
hypergraphs
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Luke Postle
University of Waterloo Canada
graph coloring
graph decompositions
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Jonathan Noel
University of Victoria Canada
graph coloring
graph homomorphisms
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Diana Combe
University of New South Wales Australia
graph labeling
graph theory
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Bogdan Cautis
Singapore Institute of Technology Singapore
graph mining
graphs
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Shahin Kamali
York University Canada
graph partitioning
graph algorithms
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Ariful Azad
Texas A&M University United States of America
graph algorithms
graph machine learning
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E Isufi
Delft University of Technology Netherlands
graphs
graph machine learning
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R. Parker
Georgia Institute of Technology United States of America
graph algorithms
graph theory
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Pelle Andersson
Linköping University Sweden
vertex coloring
graph theory
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Pan Li
Georgia Institute of Technology United States of America
graph machine learning
graph neural networks
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Roman Bresson
KTH Royal Institute of Technology Sweden
graph generating models
graph neural networks
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Debajyoti Mondal
University of Saskatchewan Canada
graph drawing applications
graph theory
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Xingxing Yu
Georgia Institute of Technology United States of America
graph algorithms
graph theory
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Derek Corneil
University of Toronto Canada
graph searching
graph theory
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