Graph Net::work::shop 2019

A workshop on graph network technologies

Data Science – Visual Analytics – Network Analysis – Graph networks in HEP – Graph Quantum Computing and QML*

If you want to learn more about the job of a machine learning expert, data scientist, engineer or analyst in the field of Big Data, this event is for you!

We will present several Graph Analytics use-cases and pilots explored  in collaboration with international organisation, non-governmental organisation, academic and industrial partners.


  • Stefan Haselwimmer, climate.space Cambridge
  • Mathis Gerdes, LMU & TU Munich
  • Andrea Martini, gluoNNet Association
  • Jean-Roch Vlimant, Caltech
  • Maria Grigorieva, Home Institute M.V. Lomonosov Moscow State University
  • Richard Forster, CERN
  • Wen Guan, University of Wisconsin
  • Johanna Eschment & Kai Kaefer, Internatsschule Schloss Hansenberg
  • Daniel Dobos, gluoNNet & University Lancaster


Date: Jun 19, 2019
AUTHOR: JohnDoe Admin

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