SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation

Atefeh Sohrabizadeh, Yuze Chi, Jason Cong. SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation. In Michael Adler, Paolo Ienne, editors, FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022 - 1 March 2022. pages 156, ACM, 2022. [doi]

@inproceedings{SohrabizadehCC22,
  title = {SPA-GCN: Efficient and Flexible GCN Accelerator with Application for Graph Similarity Computation},
  author = {Atefeh Sohrabizadeh and Yuze Chi and Jason Cong},
  year = {2022},
  doi = {10.1145/3490422.3502332},
  url = {https://doi.org/10.1145/3490422.3502332},
  researchr = {https://researchr.org/publication/SohrabizadehCC22},
  cites = {0},
  citedby = {0},
  pages = {156},
  booktitle = {FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022 - 1 March 2022},
  editor = {Michael Adler and Paolo Ienne},
  publisher = {ACM},
  isbn = {978-1-4503-9149-8},
}