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 with 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. Students requiring a credit-bearing test will be given the opportunity to undertake one. Stay tuned for more details.
Prof. Marco Gori
University of Siena
Prof. Richard Wilson
University of York
Prof. Emanuele RodolĂ
Sapienza University
Dr. Nils Kriege
University of Vienna
Bertinoro, Italy
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. Alternatively, you can send your application to luca.cosmo@unive.it. There are limited positions available therefore the 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).
Application submission deadline: 15 May 2025
Applicants notification: 18 May 2025 20 May 2025
Summer school: 7-9 July 2025
The expected participation fee is 350€ and is inclusive of accommodation (2 nights) and all meals (breakfast, lunch, dinner, and coffee breaks, excluding the lunch on the arrival date and the dinner on the departure date). A social dinner at a local restaurant will be held on July 8 and is included in the fee.Â
A number of scholarships to financially support students in need, especially those who are self-funded and need to cover large travel costs, are available. Please state in your application if you wish to be considered for financial support.
If you have any questions, feel free to contact the school organizers.
Luca Cosmo (luca.cosmo@unive.it), Ca’ Foscari University of Venice, Italy
Luca Rossi (luca.rossi@polyu.edu.hk), The Hong Kong Polytechnic University, Hong Kong, Hong Kong
Andrea Torsello (torsello@unive.it), Ca’ Foscari University of Venice, Italy