Graph neural networks (GNN) are vital for analyzing real-world problems (e.g., network analysis, drug interaction, electronic design automation, e-commerce) that use graph models. However, efficient GNN acceleration faces with multiple challenges related to high and variable sparsity of input feature vectors, power-law degree distribution in the…

To address the challenges that persist at many levels for tribal nations in pursuit of increasing accessibility to basic necessities and developing infrastructure for their citizenry, I have created this research. I show how key leaders in the Navajo Nation understand the importance of developing a sound infrastructure that would sustain our…