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Meta Platforms, Inc.
- Menlo Park, CA
- https://hanqingzeng.com
- @zimplex4
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facebookresearch/shaDow_GNN
facebookresearch/shaDow_GNN PublicNeurIPS 2021: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architectures
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facebookresearch/mowst-gnn
facebookresearch/mowst-gnn PublicOpen source the mowst-GNN models published in ICLR 2024 https//openreview.net/pdf?id=wYvuY60SdD
Python 3
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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).
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facebookresearch/griphin
facebookresearch/griphin PublicHigh performance pytorch engine for distributed graph storage, processing and analytics
C++ 9
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facebookresearch/taser-tgnn
facebookresearch/taser-tgnn PublicAdaptive neighbor sampling for temporal GNN
Python 10
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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)
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