Paper "MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks" accepted at EuroSys 2023
The paper:
"MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks" by Waleffe, Roger; Mohoney, Jason; Rekatsinas, Theodoros; Venkataraman, Shivaram
has been accepted for presentation at the 18th European Conference on Computer Systems (external pageEuroSys ’23) takin place in Rome, Italy, May 9th-12th 2023.