  Stress minimization is among the best studied force-directed graph layout
methods because it reliably yields high-quality layouts. It thus comes as a
surprise that a novel approach based on stochastic gradient descent (Zheng,
Pawar and Goodman, TVCG 2019) is claimed to improve on state-of-the-art
approaches based on majorization. We present experimental evidence that the new
approach does not actually yield better layouts, but that it is still to be
preferred because it is simpler and robust against poor initialization.
