Large Scale Graph Machine Learning Professors in Global

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Aboelmagd Noureldin
Queen's University Canada
deep learning
machine vision
machine intelligence
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Igor Pivkin
Università della Svizzera italiana Switzerland
multiscale modeling
stochastic multiscale modeling
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Shahryar Rahnamayan
Brock University Canada
machine learning
big data analytics
large-scale multi-objective optimization
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Brendan Mckay
Australian National University Australia
graph isomorphism
deep learning
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Weiren Yu
University of Warwick United Kingdom
large-scale graph mining
big data analytics
deep learning
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Yifang Ban
KTH Royal Institute of Technology Sweden
machine learning
big data analytics
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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Vasant Honavar
Pennsylvania State University United States of America
machine learning
big data analytics
deep learning
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En-hui Yang
University of Waterloo Canada
big data analytics
deep learning
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Nathaniel Bastian
Pennsylvania State University United States of America
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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Sepehr Assadi
University of Waterloo Canada
algorithmic graph theory
big data analysis
massive datasets
massively parallel computation
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Alessio Gagliardi
Technical University of Munich Germany
machine learning
multiscale modeling
deep learning
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Igor Pivkin
Università della Svizzera italiana Switzerland
multiscale modeling
stochastic modeling
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Tahsin Reza
University of Waterloo Canada
large-scale data systems
big data analytics
graphs
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Mousumi Rizia
Australian National University Australia
deep generative modelling
deep learning
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István Tomon
Umeå University Sweden
extremal graph theory
hypergraph theory
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Debdeep Pati
University of Wisconsin–Madison United States of America
machine learning
bayesian graphical models
high dimensional network analysis
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Young Lee
Macquarie University Australia
big data analytics
extreme-scale computing
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Hai Shu
New York University United States of America
machine learning
high-dimensional data analysis
deep learning
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Pierre-emmanuel Jabin
Pennsylvania State University United States of America
large systems
deep learning
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