"PreGNN: Hardware Acceleration to Take Preprocessing Off the Critical Path ..."

Donghyun Gouk et al. (2022)

> Home

Details and statistics

DOI: 10.1109/LCA.2022.3193256

access: closed

type: Journal Article

metadata version: 2024-02-05

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cal/GoukKKJCLJ22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cal/GoukKKJCLJ22
Donghyun Gouk, Seungkwan Kang, Miryeong Kwon, Junhyeok Jang, Hyunkyu Choi, Sangwon Lee, Myoungsoo Jung:
PreGNN: Hardware Acceleration to Take Preprocessing Off the Critical Path in Graph Neural Networks. IEEE Comput. Archit. Lett. 21(2): 117-120 (2022)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.