Graph Mining Professors in Global

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Abraham Bernstein
University of Zurich Switzerland
graph mining
data mining
large graph data sets
time series mining
graph stores
data mining process
machine learning
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Danai Koutra
University of Michigan United States of America
graph mining
graph machine learning
graph neural networks
data mining
graph anomaly event detection
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Aijun Author
York University Canada
graphs
data mining
data stream mining
pattern mining
machine learning
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Osmar Zaiane
University of Alberta Canada
data mining
web mining
text mining
computer graphics
machine learning
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Mateja Šajna
University of Ottawa Canada
graph theory
graph factorizations
symmetry graphs
cycle decompositions of graphs
connectivity in hypergraphs
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Osmar Zaiane
University of Alberta Canada
data mining
web mining
text mining
computer graphics
machine learning
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Leman Akoglu
Carnegie Mellon University United States of America
graph mining
data mining
anomaly mining
machine learning
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Thomas Nielsen
Aalborg University Denmark
data mining
decision graphs
probabilistic graphical models
machine learning
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Libo Li
University of Southampton United Kingdom
data mining
network analytics
machine learning
statistical modeling
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Evangelos Milios
Dalhousie University Canada
graph mining
mining
text 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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Euijin Choo
University of Alberta Canada
graph mining
data mining
machine learning
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Leman Akoglu
Carnegie Mellon University United States of America
graph mining
data mining
machine learning
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Suhang Wang
Pennsylvania State University United States of America
graph mining
data mining
machine learning
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Christos Faloutsos
Carnegie Mellon University United States of America
graph mining
data mining
machine learning
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Manos Papagelis
York University Canada
graph mining
data mining
machine learning
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Pan Li
Georgia Institute of Technology United States of America
graph machine learning
graph neural networks
machine learning
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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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Graham Farr
Monash University Australia
graph algorithms
graph theory
cryptography
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Deepayan Chakrabarti
University of Texas at Austin United States of America
graph analysis
data mining
machine learning
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