Browsing by Subject "graph neural network"

Now showing items 1-2 of 2

    • Bayesian Learning with Heterogeneous Data for Life Sciences 
      Hajiramezanali, Mohammad Ehsan (2021-01-06)
      We propose a suite of Bayesian learning methods to address challenges arising from task and data heterogeneity in life science applications. First, we develop a novel multi-domain negative binomial (NB) factorization ...
    • Towards Efficient Self-Supervised Learning on Graphs 
      Tan, Qiaoyu (2023-07-30)
      Deep learning on graphs has garnered considerable attention across various machine learning applications, encompassing social science, transportation services, and biomedical informatics. Nonetheless, prevailing methods ...