Large Scale Graph Machine Learning Professors in Global

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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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Honglak Lee
University of Michigan United States of America
large-scale learning
machine learning
graphical models
deep learning
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Sepehr Assadi
University of Waterloo Canada
algorithmic graph theory
big data analysis
massive datasets
massively parallel computation
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Samy Bengio
École Polytechnique Fédérale de Lausanne Switzerland
large language models
machine learning
statistical machine learning
deep learning
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Euijin Choo
University of Alberta Canada
graph mining
machine learning
big data analytics
deep learning
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Amir Razavi
University of Ottawa Canada
graph-based analysis
machine learning
big data analytics
deep learning
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Krishna Swamy
Yale University United States of America
graph theory
machine learning
deep learning
geometric deep learning
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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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Danai Koutra
University of Michigan United States of America
graph machine learning
graph neural networks
graph mining
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Abraham Bernstein
University of Zurich Switzerland
large graph data sets
graph mining
machine learning
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Abraham Bernstein
University of Zurich Switzerland
large graph data sets
graph mining
machine learning
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Roman Bresson
KTH Royal Institute of Technology Sweden
graph neural networks
graph generating models
large language models
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Weiren Yu
University of Warwick United Kingdom
large-scale graph mining
big data analytics
deep learning
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Anwarul Patwary
University of Western Australia Australia
graph machine learning
graph theory
deep learning
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Shengyao Lu
University of Victoria Canada
graph neural networks
large language models
graph representation learning
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Kamal Choudhary
Johns Hopkins University United States of America
graph neural networks
large language models
machine learning
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
machine learning
deep learning
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Yang Xiang
University of Guelph Canada
graph-based modelling
machine learning
graphical models
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Nick Wormald
Monash University Australia
combinatorial graph algorithms
graph theory
random graphs
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
machine learning
multidimensional data analysis
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Manos Papagelis
York University Canada
graph mining
machine learning
big data analytics
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