This lecture offers an accessible introduction to Graph Signal Processing (GSP) and Graph Neural Networks (GNNs), two complementary frameworks that enable the modeling and analysis of data with complex relational structures. These methods are particularly useful for biomedical and neuroscience applications, where data often naturally reside on irregular, non-Euclidean domains such as brain networks or physiological connectivity graphs.
Please mark your calendars for our next masterclass, this time on introduction to Graph Signal Processing (GSP) and Graph Neural Networks (GNNs) by Dr Fei He and Stephan Goerttler at Coventry University!
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