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  1. GraphSAINT

    [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

    Python 98 20

  2. GraphACT

    [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms"

    Python 7 1

  3. GNN-ARCH

    This repository is about hardware architecture to accelerate graph neural networks

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June 2020

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