Graph Machine Learning Professors in Global

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Kristen Grauman
University of Texas at Austin United States of America
machine learning
interactive machine learning
deep learning
graphics
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Danai Koutra
University of Michigan United States of America
graph machine learning
graph neural networks
graph mining
graph anomaly event detection
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Elvin Isufi
Delft University of Technology Netherlands
No active positions
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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Anwarul Patwary
University of Western Australia Australia
graph machine learning
graph theory
deep learning
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Vida Dujmovic
University of Ottawa Canada
graph theory
geometric graph theory
structural graph theory
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Ehsan Mobaraki
Aalborg University Denmark
graph neural networks
knowledge graphs
deep learning
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Karen Gunderson
University of Manitoba Canada
graph theory
random graphs
hypergraphs
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Euijin Choo
University of Alberta Canada
graph mining
machine learning
deep learning
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Suhang Wang
Pennsylvania State University United States of America
graph mining
machine learning
deep learning
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Olga Veksler
University of Waterloo Canada
graph algorithms
machine learning
deep learning
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Christian Schulz
Heidelberg University Germany
graph partitioning
scalable graph algorithms
machine learning
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José Moura
Carnegie Mellon University United States of America
graph signal processing
machine learning
deep learning
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Filip Kelvinius
Linköping University Sweden
graph data
machine learning
deep learning
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Krishna Swamy
Yale University United States of America
graph theory
machine learning
deep learning
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Jose Pena
Linköping University Sweden
chain graphs
machine learning
probabilistic graphical models
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Thomas Nielsen
Aalborg University Denmark
decision graphs
machine learning
probabilistic graphical models
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Siham Eddamiri
Maastricht University Netherlands
knowledge graphs
machine learning
deep learning
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Sirui Li
University of Western Australia Australia
knowledge graphs
machine learning
deep learning
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Geoff Webb
Monash University Australia
machine learning
graphical models
interactive machine learning
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Danica Sutherland
University of British Columbia Canada
machine learning
statistical machine learning
theoretical machine learning
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