GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing.
Xinbiao Gan|Tiejun Li|Qiang Zhang|Guang Wu|Bo Yang|Chunye Gong|Jie Liu|Kai Lu
| Anthology ID: | DBLP:conf/www/GanLZWYGLL25 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 763-771 |
| URL: | https://doi.org/10.1145/3696410.3714833 |
| DOI: | https://doi.org/10.1145/3696410.3714833 |
| DBLP: | conf/www/GanLZWYGLL25 |
| BibTeX: |
@inproceedings{gan-2025-graphcsr,
author = {Xinbiao Gan and
Tiejun Li and
Qiang Zhang and
Guang Wu and
Bo Yang and
Chunye Gong and
Jie Liu and
Kai Lu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{GraphCSR: A Space and Time-Efficient Sparse Matrix Representation for Web-scale Graph Processing}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {763--771},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714833},
doi = {https://doi.org/10.1145/3696410.3714833}
}