Cong Liu, Haikun Liu, Hai Jin 0001, Xiaofei Liao, Yu Zhang, Zhuohui Duan, Jiahong Xu, Huize Li. ReGNN: a ReRAM-based heterogeneous architecture for general graph neural networks. In Rob Oshana, editor, DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10 - 14, 2022. pages 469-474, ACM, 2022. [doi]
@inproceedings{LiuL0LZDXL22,
title = {ReGNN: a ReRAM-based heterogeneous architecture for general graph neural networks},
author = {Cong Liu and Haikun Liu and Hai Jin 0001 and Xiaofei Liao and Yu Zhang and Zhuohui Duan and Jiahong Xu and Huize Li},
year = {2022},
doi = {10.1145/3489517.3530479},
url = {https://doi.org/10.1145/3489517.3530479},
researchr = {https://researchr.org/publication/LiuL0LZDXL22},
cites = {0},
citedby = {0},
pages = {469-474},
booktitle = {DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10 - 14, 2022},
editor = {Rob Oshana},
publisher = {ACM},
isbn = {978-1-4503-9142-9},
}