2nd IAPR Summer School on Deep Learning on Graphs

Webpage: https://sites.google.com/view/tc2-dlg-2

Application deadline:  1 May 2025

Like many other research areas, the field of structural and syntactical pattern recognition has been significantly impacted by the advent of deep learning. However, with many of the popular deep learning architectures being primarily designed for vectorial data or simple sequences, this school aims to provide an avenue for young researchers to learn about how deep learning can also be applied to data that has an inherent structure, such as graphs.

The school will feature talks from four international speakers, a poster session enabling students to share their research with peers, organizers, and speakers, and social events. Check out the school website for more information and updates.

TARGET AUDIENCE  

Postgraduate research students with knowledge of deep learning techniques and an understanding of basic graph theory should fill out the application form and attach an up-to-date copy of their CV, clearly identifying their area of research, publications, and academic performance. There are limited positions available; therefore, applicants will be selected based on their CV. Note that we welcome applicants from all disciplines, including those interested in applying deep learning methods for graphs to their specific field of research (e.g., network analysis, bioinformatics).

Applications are open: https://sites.google.com/view/tc2-dlg-2/home?#h.hg7lr1ysdya7

SPEAKERS

Prof. Marco Gori (University of Siena)
Prof. Richard C. Wilson (University of York)
Prof. Emanuele Rodolà (Sapienza University)
Dr. Nils Kriege (University of Vienna)

This event is jointly organized by the Technical Committee 2 of the International Association for Pattern Recognition and the Department of Environmental Sciences, Informatics and Statistics of Ca’ Foscari University of Venice and hosted by the Bertinoro International Center for Informatics.