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  1. facebookresearch/shaDow_GNN facebookresearch/shaDow_GNN Public

    NeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures

    Python 130 16

  2. facebookresearch/mowst-gnn facebookresearch/mowst-gnn Public

    Open source the mowst-GNN models published in ICLR 2024 https//openreview.net/pdf?id=wYvuY60SdD

    Python 3

  3. GraphSAINT/GraphSAINT GraphSAINT/GraphSAINT Public

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

    Python 464 89

  4. facebookresearch/griphin facebookresearch/griphin Public

    High performance pytorch engine for distributed graph storage, processing and analytics

    C++ 9

  5. facebookresearch/taser-tgnn facebookresearch/taser-tgnn Public

    Adaptive neighbor sampling for temporal GNN

    Python 11

  6. GraphSAINT/GNN-ARCH GraphSAINT/GNN-ARCH Public

    [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)

    Verilog 40 9