Katharina Börsig, Ulrik Brandes, Barna Pásztor. Stochastic Gradient Descent Works Really Well for Stress Minimization. In David Auber, Pavel Valtr, editors, Graph Drawing and Network Visualization - 28th International Symposium, GD 2020, Vancouver, BC, Canada, September 16-18, 2020, Revised Selected Papers. Volume 12590 of Lecture Notes in Computer Science, pages 18-25, Springer, 2020. [doi]
@inproceedings{BorsigBP20,
title = {Stochastic Gradient Descent Works Really Well for Stress Minimization},
author = {Katharina Börsig and Ulrik Brandes and Barna Pásztor},
year = {2020},
doi = {10.1007/978-3-030-68766-3_2},
url = {https://doi.org/10.1007/978-3-030-68766-3_2},
researchr = {https://researchr.org/publication/BorsigBP20},
cites = {0},
citedby = {0},
pages = {18-25},
booktitle = {Graph Drawing and Network Visualization - 28th International Symposium, GD 2020, Vancouver, BC, Canada, September 16-18, 2020, Revised Selected Papers},
editor = {David Auber and Pavel Valtr},
volume = {12590},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-68766-3},
}