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-AIMD: A Memory-Efficient Subgraph-Centric Framework for Efficient Subgraph Finding on GPUs.

Lyuheng YuanAkhlaque AhmadDa YanJiao HanSaugat AdhikariXiaodong YuYang Zhou
Published in: ICDE (2024)
Keyphrases
  • memory efficient
  • neural network
  • general purpose
  • main contribution
  • real time
  • lightweight
  • theoretical framework
  • graph mining
  • iterative deepening
  • integral image