The program of this year's summer school will focus on Graph Neural Networks, covering both fundamental concepts and practical applications.
Participants can expect a mix of lectures and interactive sessions that provide insight into the mathematical foundations as well as real-world use cases of graph-based machine learning methods.
Further, the program includes:
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a poster session and networking dinner on the first day
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a social event
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hands-on tutorials with a focus on applications
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sessions combining theoretical perspectives with practical examples
This course was made possible through Course Funding by HIDA, which supported its development and implementation.
