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rapidsai / wholegraph

WholeGraph - large scale Graph Neural Networks

Home Page:https://docs.rapids.ai/api/cugraph/stable/wholegraph/

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WholeGraph

WholeGraph is developed to help train large-scale Graph Neural Networks(GNN). WholeGraph provides underlying storage structure called WholeMemory. WholeMemory is a Tensor like storage and provide multi-GPU support. It is optimized for NVLink systems like DGX A100 servers. By working together with cuGraph, cuGraph-Ops, cuGraph-DGL, cuGraph-PyG, and upstream DGL and PyG, it will be easy to build GNN applications.

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WholeGraph - large scale Graph Neural Networks

https://docs.rapids.ai/api/cugraph/stable/wholegraph/

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License:Apache License 2.0

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