Graph Representation Learning Professors in Global

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