Now showing items 1-2 of 2

    • Some Mathematical Perspectives of Graph Neural Networks 

      Nguyen, Duy (University of Waterloo, 2022-05-12)
      Many real-world entities can be modelled as graphs, such as molecular structures, social networks, or images. Despite coming with such a great expressive power, the complex structure of graphs poses significant challenges ...
    • A Sparse Random Feature Model for Signal Decomposition 

      Richardson, Nicholas Joseph Emile (University of Waterloo, 2022-05-11)
      Signal decomposition and multiscale signal analysis provide useful tools for time-frequency analysis. In this thesis, an overview of the signal decomposition problem is given and popular methods are discussed. A novel ...

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