Machine Learning Graph Structured Data Professors in Global

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Vida Dujmovic
University of Ottawa Canada
structural graph theory
data structures
graph theory
geometric graph theory
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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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Pan Li
Georgia Institute of Technology United States of America
graph machine learning
graph neural networks
machine learning
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Max Ward-graham
University of Western Australia Australia
data structures
graph theory
machine learning
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Jose Pena
Linköping University Sweden
chain graphs
machine learning
probabilistic graphical models
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Danica Sutherland
University of British Columbia Canada
statistical machine learning
machine learning
theoretical machine learning
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Christian Schulz
Heidelberg University Germany
scalable graph algorithms
machine learning
graph partitioning
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Sergio Rodriguez Mendez
Australian National University Australia
machine learning
linked data
knowledge graphs
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Thomas Nielsen
Aalborg University Denmark
machine learning
decision graphs
probabilistic graphical models
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Yuying Xie
Michigan State University United States of America
statistical machine learning
graphical models
spatial data analysis
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Yuying Xie
Michigan State University United States of America
statistical machine learning
graphical models
spatial data analysis
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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Ariful Azad
Texas A&M University United States of America
graph machine learning
graph algorithms
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David Kohan Marzagao
King's College London United Kingdom
graph-structured data
machine learning
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Sandra Kiefer
University of Oxford United Kingdom
graph machine learning
graph theory
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Anwarul Patwary
University of Western Australia Australia
graph machine learning
graph theory
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E Isufi
Delft University of Technology Netherlands
graph machine learning
graphs
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Ismail Ceylan
University of Oxford United Kingdom
graph machine learning
machine learning
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Rik Sarkar
University of Edinburgh United Kingdom
graph machine learning
machine learning
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Shengyao Lu
University of Victoria Canada
graph neural networks
graph representation learning
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