Now showing items 1-2 of 2

    • Hasanzadehmoghimi, Arman (2021-12-03)
      In this dissertation, we propose novel Bayesian machine learning models to solve various graph analytics problems, including graph representation learning, graph generative modeling, structured semi-supervised learning, ...
    • Maddouri, Omar (2022-08-17)
      With the rapid expansion of big data in all science and engineering domains, the potential that lays behind these massive data is undoubtedly significant. Leveraging such information in an optimal way requires innovative ...