VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator

Hao Ming, Tingting Pan, Dong Chen, Chencheng Ye, Haikun Liu, LiTing Tang, Xiaofei Liao, Hai Jin 0001. VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator. Journal of Systems Architecture, 141:102924, 2023. [doi]

@article{MingPCYLTL023,
  title = {VIDGCN: Embracing input data diversity with a configurable graph convolutional network accelerator},
  author = {Hao Ming and Tingting Pan and Dong Chen and Chencheng Ye and Haikun Liu and LiTing Tang and Xiaofei Liao and Hai Jin 0001},
  year = {2023},
  doi = {10.1016/j.sysarc.2023.102924},
  url = {https://doi.org/10.1016/j.sysarc.2023.102924},
  researchr = {https://researchr.org/publication/MingPCYLTL023},
  cites = {0},
  citedby = {0},
  journal = {Journal of Systems Architecture},
  volume = {141},
  pages = {102924},
}