Accelerating Graph Neural Networks Using a Novel Computation-Friendly Matrix Compression Format

Veröffentlichungen: Beitrag in Buch › Beitrag in Konferenzband › Peer Reviewed

Originalsprache	Englisch
Titel	IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2025
DOIs	https://doi.org/10.1109/IPDPS64566.2025.00100
Publikationsstatus	Veröffentlicht - 3 Juni 2025

ÖFOS 2012

@inproceedings{906fad8d73b541eb8c1380e203bd9818,

title = "Accelerating Graph Neural Networks Using a Novel Computation-Friendly Matrix Compression Format",

author = "Joao Alves and Samir Moustafa and Siegfried Benkner and Francisco, \{Alexandre P.\} and Wilfried Gansterer and Russo, \{Lu{\'i}s M. S.\}",

year = "2025",

month = jun,

day = "3",

doi = "10.1109/IPDPS64566.2025.00100",

language = "English",

booktitle = "IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2025",

}

TY - GEN

T1 - Accelerating Graph Neural Networks Using a Novel Computation-Friendly Matrix Compression Format

AU - Alves, Joao

AU - Moustafa, Samir

AU - Benkner, Siegfried

AU - Francisco, Alexandre P.

AU - Gansterer, Wilfried

AU - Russo, Luís M. S.

PY - 2025/6/3

Y1 - 2025/6/3

U2 - 10.1109/IPDPS64566.2025.00100

DO - 10.1109/IPDPS64566.2025.00100

M3 - Contribution to proceedings

BT - IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2025

ER -