Graph Generating Models Professors in Global

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Danai Koutra
University of Michigan United States of America
graph mining
graph neural networks
graph machine learning
graph anomaly event detection
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Elvin Isufi
Delft University of Technology Netherlands
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graph neural networks
graph machine learning
graph signal processing
mathematical modeling
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Ehsan Mobaraki
Aalborg University Denmark
generative models
graph neural networks
knowledge graphs
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Nick Wormald
Monash University Australia
graph theory
random graphs
combinatorial graph algorithms
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Karen Gunderson
University of Manitoba Canada
graph theory
random graphs
hypergraphs
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Mateja Šajna
University of Ottawa Canada
graph theory
graph factorizations
symmetry graphs
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Wicher Bergsma
London School of Economics and Political Science United Kingdom
graphical models
statistical modeling
regression models
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Vida Dujmovic
University of Ottawa Canada
graph theory
geometric graph theory
structural graph theory
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Harsha Honnappa
Purdue University United States of America
generative modeling
model estimation
stochastic models
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Julia Böttcher
London School of Economics United Kingdom
graph theory
mathematical models
hypergraphs
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Luke Postle
University of Waterloo Canada
graph coloring
graph decompositions
topological structural graph theory
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Nicolai Rothe
Technical University of Berlin Germany
generative ai
statistical modeling
mathematical modeling
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Daniel Graham
Imperial College London United Kingdom
statistical modelling
mathematical modelling
economic modelling
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Roman Bresson
KTH Royal Institute of Technology Sweden
graph generating models
graph neural networks
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Yang Xiang
University of Guelph Canada
graphical models
graph-based modelling
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Rik Sarkar
University of Edinburgh United Kingdom
generative models
graph machine learning
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Pan Li
Georgia Institute of Technology United States of America
graph neural networks
graph machine learning
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Bogdan Cautis
Singapore Institute of Technology Singapore
graph mining
graphs
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Shengyao Lu
University of Victoria Canada
graph neural networks
graph representation learning
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Ariful Azad
Texas A&M University United States of America
graph algorithms
graph machine learning
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Graham Taylor
University of Guelph Canada
generative modelling
graph representation learning
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