Johannes Lutzeyer
Scholar

Johannes Lutzeyer

Google Scholar ID: OfT4ns8AAAAJ
Assistant Professor, École Polytechnique
Graph Representation LearningGraph Neural NetworksMachine Learning
Citations & Impact
All-time
Citations
338
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
39
list available
Resume (English only)
Academic Achievements
  • - August 2025: Distinguished paper award at IJCAI 2025 with coauthors Abderrahim Bendahi, Adrien Fradin, Benjamin Doerr, etc.
  • - November 2024: Received one of the LOG Top Reviewer Awards
  • - July 2024: Received one of the ICML Best Reviewer Awards
  • - Delivered keynote talks at various international conferences, such as 'Understanding Virtual Nodes in Graph Neural Networks' and 'Methodological Advances in Graph Neural Networks'
Research Experience
  • - Assistant Professor: Data Science and Mining Team at École Polytechnique, France
  • - Invited to give talks at various international conferences and workshops, such as IJCAI, IJCNN, etc.
  • - Involved in multiple research projects, such as inviting applications for a PhD position with Ye Zhu and a Postdoctoral Researcher position with Jesse Read
Education
  • - PhD: Imperial College London, supervised by Prof. Andrew Walden
  • - Postdoc: 2.5 years under the supervision of Prof. Michalis Vazirgiannis at École Polytechnique
Background
  • Currently an Assistant Professor in the Data Science and Mining Team at the Laboratoire d'Informatique of École Polytechnique in France. Research interests include Graph Neural Networks and Spectral Properties of Graph Shift Operator Matrices, working in the area of Graph Representation Learning at the intersection of Statistics and Computer Science.
Miscellany
  • Personal interests and hobbies not mentioned