Graph Tree Compression Algorithms Professors in Global

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Shahin Kamali
York University Canada
graph algorithms
data compression
graph partitioning
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Danai Koutra
University of Michigan United States of America
graph machine learning
graph neural networks
graph mining
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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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Mateja Šajna
University of Ottawa Canada
graph theory
graph factorizations
symmetry graphs
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Nauzer Kalyaniwalla
Dalhousie University Canada
graph tree compression algorithms
compressibility measure information content in graphs
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Xingxing Yu
Georgia Institute of Technology United States of America
graph algorithms
graph theory
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John Reif
Duke University Singapore
graph algorithms
data compression
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Graham Farr
Monash University Australia
graph algorithms
graph theory
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Ariful Azad
Texas A&M University United States of America
graph algorithms
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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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
graph algorithms
data stream algorithms
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Nick Wormald
Monash University Australia
combinatorial graph algorithms
graph theory
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Gara Pruesse
Vancouver Island University Canada
graph algorithms
optimization algorithms
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Debarati Das
Pennsylvania State University United States of America
graph algorithms
string algorithms
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Christian Schulz
Heidelberg University Germany
scalable graph algorithms
graph partitioning
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
graph algorithms
sublinear algorithms
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Anwarul Patwary
University of Western Australia Australia
graph machine learning
graph theory
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Sandra Kiefer
University of Oxford United Kingdom
graph machine learning
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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Eleni Drinea
Columbia University United States of America
randomized graph algorithms
algorithms for big data
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Luana Ruiz
Johns Hopkins University United States of America
graph neural networks
large-scale graph machine learning
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