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Graph Representation Learning
Graph Representation Learning Professors in Global
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Professor
Elvin Isufi
Delft University of Technology
Netherlands
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graph machine learning
graph neural networks
graph signal processing
mathematical modeling
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Professor
Pan Li
Georgia Institute of Technology
United States of America
graph machine learning
graph neural networks
machine learning
geometric deep learning
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Professor
Fei Wang
Cornell University
Netherlands
machine learning
knowledge graph
transfer learning
multi-modal learning
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Professor
Danai Koutra
University of Michigan
United States of America
network representation learning
graph machine learning
graph neural networks
graph mining
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Professor
Ismail Ceylan
University of Oxford
United Kingdom
graph machine learning
knowledge representation
machine learning
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Professor
Christoph Brune
University of Twente
Netherlands
graph neural networks
deep learning
geometric deep learning
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Professor
Michael Bronstein
University of Oxford
United Kingdom
graph neural networks
machine learning
geometric deep learning
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Professor
José Moura
Carnegie Mellon University
United States of America
graph signal processing
deep learning
machine learning
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Professor
Olga Veksler
University of Waterloo
Canada
graph algorithms
deep learning
machine learning
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Professor
Krishna Balasubramanian
University of California, Davis
United States of America
statistical learning
deep learning
generative modeling
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Professor
Jason Klusowski
Princeton University
United States of America
statistical learning
deep learning
decision tree learning
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Professor
Axel Flinth
Umeå University
Sweden
statistical learning
machine learning
geometric deep learning
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Professor
Vasant Honavar
Pennsylvania State University
United States of America
knowledge representation
deep learning
machine learning
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Professor
Peter Bloem
Vrije Universiteit Amsterdam
Netherlands
knowledge representation
machine learning
dynamic knowledge graphs
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Professor
Honglak Lee
University of Michigan
United States of America
representation learning
graphical models
deep learning
large-scale learning
machine learning
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Professor
Hujun Yin
University of Manchester
United Kingdom
deep learning
machine learning
image recognition
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Professor
Yiqiao Zhong
University of Wisconsin–Madison
United States of America
deep learning
machine learning
self-supervised learning
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Professor
Sun-yuan Kung
Princeton University
United States of America
deep learning
machine learning
structural learning
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Professor
Krishna Swamy
Yale University
United States of America
graph theory
deep learning
machine learning
geometric deep learning
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Professor
Mahdi Soltanolkotabi
University of Southern California
United States of America
deep learning
machine learning
transfer learning
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Professor
Ferenc Huszár
University of Cambridge
United Kingdom
representation learning
deep learning
machine learning
transfer learning
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