Analyzing the Performance of Graph Neural Networks with Pipe Parallelism

Matthew T. Dearing, Xiaoyan Wang

Many interesting datasets ubiquitous in machine learning and deep learning can be described via graphs. As the scale and complexity of graph-structured datasets increase, such as i…