Browse Graduate Dissertations and Theses at Illinois by Subject "Graph Neural Networks"
Now showing items 1-2 of 2
(2020-12-18)Probabilistic graphical models are a statistical framework for conditionally dependent random variables with dependencies represented by graphs. A traditional method to perform inference over these random variables is ...
(2020-07-22)This thesis presents a data-driven approach to improving predictions of critical infrastructure behaviors. In our first approach, we explore novel data sources and time series modeling techniques to model disaster impacts ...